Triple
T15278025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuwait Bay |
E365193
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Doha Bay |
E306582
|
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: Doha Bay | Statement: [Kuwait Bay, hasPart, Doha Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doha Bay Context triple: [Kuwait Bay, hasPart, Doha Bay]
-
A.
Doha Bay
chosen
Doha Bay is a prominent natural harbor along the coast of Doha, Qatar, known for its waterfront skyline and cultural landmarks.
-
B.
بقيق
بقيق هي مدينة سعودية في المنطقة الشرقية تشتهر بكونها مركزاً مهماً لصناعة النفط ومعالجة البترول.
-
C.
Ras Al Khair
Ras Al Khair is an industrial city on Saudi Arabia’s eastern coast, known for its major mining, minerals processing, and maritime industries.
-
D.
Nad Al Sheba
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
-
E.
Kuwait Bay
Kuwait Bay is a shallow, semi-enclosed inlet of the Persian Gulf along the coast of Kuwait, known for its ecological importance and its role in the country’s maritime and urban landscape.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef895f9708190a44ee7ade1c46a7d |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:14 a.m.