Triple
T14663154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abadan |
E344295
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Abadan County |
E1112715
|
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: Abadan County | Statement: [Abadan, administrativeDivision, Abadan County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abadan County Context triple: [Abadan, administrativeDivision, Abadan County]
-
A.
Abadan County
chosen
Abadan County is an administrative division in Khuzestan Province in southwestern Iran, centered around the oil-rich city of Abadan.
-
B.
Marand County
Marand County is an administrative region in East Azerbaijan Province in northwestern Iran, centered around the city of Marand.
-
C.
Pishva County
Pishva County is an administrative subdivision in northern Iran known for its location within Tehran Province and its proximity to the capital city.
-
D.
Firuzkuh County
Firuzkuh County is an administrative subdivision in northeastern Tehran Province, Iran, known for its mountainous terrain, cold climate, and natural attractions.
-
E.
Pakdasht County
Pakdasht County is an administrative subdivision in Iran located southeast of Tehran, known for its agricultural activities and proximity to the capital.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde175db5881908f88d2b3fd72bb52 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.