Triple
T1658531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tehran |
E35852
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
UT
UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
|
E187601
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UT | Statement: [University of Tehran, nickname, UT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UT Context triple: [University of Tehran, nickname, UT]
-
A.
IN-UT
IN-UT is the ISO 3166-2 code representing the Indian state of Uttarakhand.
-
B.
Utah
Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
-
C.
ONT
ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
-
D.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
-
E.
Mon State
Mon State is a coastal administrative region in southeastern Myanmar known for its ethnically diverse population, including significant Mon and Karen communities, and its historical and cultural importance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UT Triple: [University of Tehran, nickname, UT]
Generated description
UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UT Target entity description: UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
-
A.
IN-UT
IN-UT is the ISO 3166-2 code representing the Indian state of Uttarakhand.
-
B.
Utah
Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
-
C.
ONT
ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
-
D.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
-
E.
Mon State
Mon State is a coastal administrative region in southeastern Myanmar known for its ethnically diverse population, including significant Mon and Karen communities, and its historical and cultural importance.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90aafe5e881908158fab83998fd07 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6827ff2c8190b7c9af9926a7452c |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68edbd2c819090c6556966eb279a |
completed | March 8, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad69724c9c8190a2314a8f30f18f7d |
completed | March 8, 2026, 12:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.