Triple
T14127421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isfahan region |
E340068
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Najafabad
Najafabad is a city in central Iran known as one of the major urban centers of Isfahan Province, with a strong agricultural base and growing industrial and educational sectors.
|
E1081383
|
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: Najafabad | Statement: [Isfahan region, hasUrbanCenter, Najafabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najafabad Context triple: [Isfahan region, hasUrbanCenter, Najafabad]
-
A.
Sharifabad
Sharifabad is a town located in Pakdasht County within Tehran Province in Iran.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
D.
Salehabad
Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
-
E.
Salehabad
Salehabad is a village-level settlement located within Baharestan County in Tehran Province, Iran.
- 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: Najafabad Triple: [Isfahan region, hasUrbanCenter, Najafabad]
Generated description
Najafabad is a city in central Iran known as one of the major urban centers of Isfahan Province, with a strong agricultural base and growing industrial and educational sectors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Najafabad Target entity description: Najafabad is a city in central Iran known as one of the major urban centers of Isfahan Province, with a strong agricultural base and growing industrial and educational sectors.
-
A.
Sharifabad
Sharifabad is a town located in Pakdasht County within Tehran Province in Iran.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
D.
Salehabad
Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
-
E.
Salehabad
Salehabad is a village-level settlement located within Baharestan County in Tehran Province, Iran.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0c833081908458e4eaee689df7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce094bf3081909f7c0097dcb63398 |
completed | May 7, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce14ff8e48190b3b663d130d18418 |
completed | May 7, 2026, 7 p.m. |
Created at: April 9, 2026, 10:22 p.m.