Triple
T8531515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakdasht County |
E201961
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Pakdasht
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
|
E793990
|
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: Pakdasht | Statement: [Pakdasht County, capital, Pakdasht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakdasht Context triple: [Pakdasht County, capital, Pakdasht]
-
A.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
-
B.
Sadabad
Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
-
C.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
D.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
E.
Ardakan
Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
- 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: Pakdasht Triple: [Pakdasht County, capital, Pakdasht]
Generated description
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pakdasht Target entity description: Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
-
A.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
-
B.
Sadabad
Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
-
C.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
D.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
E.
Ardakan
Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3391ff08190a725b0549fb0bc89 |
completed | April 4, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69d0f46bd034819093e7157a3e1ac1fc |
completed | April 4, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f5bf64548190b40e97b279db5105 |
completed | April 4, 2026, 11:27 a.m. |
Created at: March 30, 2026, 6:17 p.m.