Triple
T10130424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandari people |
E226322
|
entity |
| Predicate | majorPortCity |
P2994
|
FINISHED |
| Object | Bushehr |
E244066
|
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: Bushehr | Statement: [Bandari people, majorPortCity, Bushehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bushehr Context triple: [Bandari people, majorPortCity, Bushehr]
-
A.
Bushehr
chosen
Bushehr is a coastal city in southwestern Iran on the Persian Gulf, known for its strategic port and nearby nuclear power plant.
-
B.
Babolsar
Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
-
C.
Mahshahr
Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
-
D.
Bushehr Province
Bushehr Province is a coastal region in southwestern Iran along the Persian Gulf, known for its strategic ports, energy industries, and ethnically diverse population.
-
E.
Semnan
Semnan is a historic city in north-central Iran known for its traditional architecture, bazaars, and role as a regional cultural and economic hub.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15435faa881909b1a124f8027deeb |
completed | April 16, 2026, 9:27 p.m. |
Created at: March 30, 2026, 9:05 p.m.