Triple
T14663112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basra Governorate |
E344294
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Al Faw |
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 | Statement: [Basra Governorate, hasCity, Al Faw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Faw Context triple: [Basra Governorate, hasCity, Al Faw]
-
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-Ouja
Al-Ouja is a village near Tikrit in Iraq, best known as the birthplace of former Iraqi president Saddam Hussein.
-
C.
Bakhdida
Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
-
D.
Al Twar
Al Twar is a residential and commercial locality in eastern Dubai, United Arab Emirates, known for its community facilities and proximity to major transport links.
-
E.
Al Wajh
Al Wajh is a coastal town and port on the Red Sea in northwestern Saudi Arabia’s Hejaz region.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.