Triple
T14818407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Khorasan Province |
E348379
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Qaen
Qaen is a historic city in eastern Iran known as a regional center for saffron production and traditional crafts.
|
E1156976
|
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: Qaen | Statement: [South Khorasan Province, hasCity, Qaen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qaen Context triple: [South Khorasan Province, hasCity, Qaen]
-
A.
Qazigund
Qazigund is a town in the Kashmir Valley of northern India, known as a key transit point and gateway between the Jammu region and the Kashmir Valley.
-
B.
Piranshahr
Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
-
C.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
D.
Qaem Shahr
Qaem Shahr is a major industrial and commercial city in northern Iran, located in the lush, Caspian coastal region of Mazandaran.
-
E.
Khodjend
Khodjend is the former name of Khujand, one of the oldest cities in Central Asia and a major cultural and economic center in northern Tajikistan.
- 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: Qaen Triple: [South Khorasan Province, hasCity, Qaen]
Generated description
Qaen is a historic city in eastern Iran known as a regional center for saffron production and traditional crafts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qaen Target entity description: Qaen is a historic city in eastern Iran known as a regional center for saffron production and traditional crafts.
-
A.
Qazigund
Qazigund is a town in the Kashmir Valley of northern India, known as a key transit point and gateway between the Jammu region and the Kashmir Valley.
-
B.
Piranshahr
Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
-
C.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
D.
Qaem Shahr
Qaem Shahr is a major industrial and commercial city in northern Iran, located in the lush, Caspian coastal region of Mazandaran.
-
E.
Khodjend
Khodjend is the former name of Khujand, one of the oldest cities in Central Asia and a major cultural and economic center in northern Tajikistan.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218f11008190bd4837f900746d1a |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff2248c514819084cfe899478129d9 |
completed | May 9, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff229cec3081908c7f904a09613d01 |
completed | May 9, 2026, 12:03 p.m. |
Created at: April 10, 2026, 1:50 a.m.