Triple
T22734397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lar |
E562224
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Bandar Abbas |
—
|
NE NERFINISHED |
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: Bandar Abbas | Statement: [Lar, nearbyCity, Bandar Abbas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandar Abbas Context triple: [Lar, nearbyCity, Bandar Abbas]
-
A.
Bandar Abbas
chosen
Bandar Abbas is a strategic Iranian port city on the Persian Gulf that serves as a key maritime and commercial hub near the Strait of Hormuz.
-
B.
Zahedan
Zahedan is a major city in southeastern Iran and the capital of Sistan and Baluchestan Province, near the borders with Pakistan and Afghanistan.
-
C.
Ahvaz
Ahvaz is a major industrial city in southwestern Iran and the capital of Khuzestan Province, known for its oil industry and location along the Karun River.
-
D.
Tehrani
Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
-
E.
Khorramshahr
Khorramshahr is a strategic port city in southwestern Iran on the Shatt al-Arab waterway, historically significant for its role in World War II logistics and the Iran–Iraq War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796e4970819090fb9c9926673938 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.