Triple
T12879088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Faw |
E308041
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Al-Faw District |
E308041
|
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: Al-Faw District | Statement: [Al-Faw, locatedIn, Al-Faw District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Faw District Context triple: [Al-Faw, locatedIn, Al-Faw District]
-
A.
Al-Faw
chosen
Al-Faw is a strategic port town at the southern tip of Iraq, near the Shatt al-Arab waterway and the Persian Gulf.
-
B.
Al Qaim District
Al Qaim District is an administrative district in Iraq’s Al Anbar Governorate, located along the Euphrates River near the Syrian border and known for its strategic border town of Al Qaim.
-
C.
Maysan Governorate
Maysan Governorate is an administrative region in southeastern Iraq known for its marshlands, oil resources, and capital city Amarah near the Iranian border.
-
D.
al-Bab District
al-Bab District is an administrative district in northern Syria centered on the city of al-Bab and forming part of the Aleppo region.
-
E.
Anbar Governorate
Anbar Governorate is Iraq’s largest and predominantly desert province, located in the country’s western region and bordering Syria, Jordan, and Saudi Arabia.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ccee708190bb4caa604386e3a3 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:39 p.m.