Triple
T14818408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Khorasan Province |
E348379
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ferdows
Ferdows is a small historic city in eastern Iran known for its traditional architecture, saffron production, and proximity to desert landscapes.
|
E1195223
|
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: Ferdows | Statement: [South Khorasan Province, hasCity, Ferdows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferdows Context triple: [South Khorasan Province, hasCity, Ferdows]
-
A.
Firuzabad
Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
-
B.
Neyshabur
Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
-
C.
Istakhr
Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
-
D.
Mehriz
Mehriz is a historic city in central Iran known for its traditional architecture, qanat-based irrigation, and desert climate.
-
E.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
- 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: Ferdows Triple: [South Khorasan Province, hasCity, Ferdows]
Generated description
Ferdows is a small historic city in eastern Iran known for its traditional architecture, saffron production, and proximity to desert landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferdows Target entity description: Ferdows is a small historic city in eastern Iran known for its traditional architecture, saffron production, and proximity to desert landscapes.
-
A.
Firuzabad
Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
-
B.
Neyshabur
Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
-
C.
Istakhr
Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
-
D.
Mehriz
Mehriz is a historic city in central Iran known for its traditional architecture, qanat-based irrigation, and desert climate.
-
E.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
- 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_69fff28b707481908611ae8e23de3294 |
completed | May 10, 2026, 2:50 a.m. |
| NEDg | Description generation | batch_69fff30874d48190906df0cf14fa279d |
completed | May 10, 2026, 2:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff383ce688190ac6c91f89250557c |
completed | May 10, 2026, 2:54 a.m. |
Created at: April 10, 2026, 1:50 a.m.