Triple
T17244089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabriya |
E418575
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Mishref |
E1197581
|
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: Mishref | Statement: [Jabriya, locatedNear, Mishref]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mishref Context triple: [Jabriya, locatedNear, Mishref]
-
A.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
B.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
C.
Харабали
Харабали — город в Астраханской области России, расположенный на берегу реки Ахтубы и являющийся административным центром Харабалинского района.
-
D.
Tarshiha
Tarshiha is an Arab town in northern Israel, known today as the Arab component of the mixed city of Ma'alot-Tarshiha.
-
E.
Mahboula
chosen
Mahboula is a coastal residential district in the Ahmadi Governorate of Kuwait, known for its high-rise apartments and proximity to Kuwait City.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21bb5c8190ad960f231fe54665 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.