Triple
T20526677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammerah |
E503953
|
entity |
| Predicate | historicalNameOf |
P65
|
FINISHED |
| Object | Khorramshahr |
—
|
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: Khorramshahr | Statement: [Mohammerah, historicalNameOf, Khorramshahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khorramshahr Context triple: [Mohammerah, historicalNameOf, Khorramshahr]
-
A.
Khorramshahr
chosen
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.
-
B.
Piranshahr
Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
-
C.
Zahedan
Zahedan is a major city in southeastern Iran and the capital of Sistan and Baluchestan Province, near the borders with Pakistan and Afghanistan.
-
D.
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.
-
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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a066402081909dd53830eb637ad0 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.