Triple
T14511250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Daayen Municipality |
E340398
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object | Al Khor |
E348170
|
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 Khor | Statement: [Al Daayen Municipality, hasRoadConnection, Al Khor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Khor Context triple: [Al Daayen Municipality, hasRoadConnection, Al Khor]
-
A.
Al Khor
chosen
Al Khor is a coastal city in northeastern Qatar known for hosting matches at Al Bayt Stadium during the 2022 FIFA World Cup.
-
B.
Al Rayyan
Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
-
C.
Al-Shuwaikh
Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
-
D.
الجهراء
الجهراء هي مدينة كويتية تقع غرب مدينة الكويت وتعد من أكبر محافظات البلاد من حيث المساحة والسكان.
-
E.
Nasiriyah
Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da48b2c8190a906965a7ebcb607 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.