Triple
T8531534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakdasht County |
E201961
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Pakdasht city |
E793990
|
NE FINISHED |
How this triple was built (2 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 city | Statement: [Pakdasht County, administrativeCenter, Pakdasht city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakdasht city Context triple: [Pakdasht County, administrativeCenter, Pakdasht city]
-
A.
Sadabad
Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
-
B.
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.
-
C.
Mehdishahr
Mehdishahr is a city in north-central Iran known for its location in the mountainous region of Semnan Province and its relatively cool climate.
-
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.
Pakdasht
chosen
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d181fc06c48190b6a7444d975b1e09 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 6:17 p.m.