Triple
T20065267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Republic of Iran Navy |
E499591
|
entity |
| Predicate | mainNavalBase |
P1869
|
FINISHED |
| Object | Bandar Anzali |
—
|
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 Anzali | Statement: [Islamic Republic of Iran Navy, mainNavalBase, Bandar Anzali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandar Anzali Context triple: [Islamic Republic of Iran Navy, mainNavalBase, Bandar Anzali]
-
A.
Bandar-e Anzali
chosen
Bandar-e Anzali is a port city on the Caspian Sea in northern Iran, known for its maritime trade, lagoon, and role as a regional tourist destination.
-
B.
Bandar-e Asaluyeh
Bandar-e Asaluyeh is a coastal city in southern Iran known as a major hub for the country’s petrochemical and natural gas industries along the Persian Gulf.
-
C.
Bandar-e Deylam
Bandar-e Deylam is a coastal city and port on the Persian Gulf in Iran’s Bushehr Province.
-
D.
Bandar-e Lengeh
Bandar-e Lengeh is a coastal port city on the Persian Gulf in southern Iran, known historically as a regional trading hub.
-
E.
Mahshahr
Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e663787190819096b2b78b38c1bf12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.