Triple
T17614773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yallahs Bay |
E429054
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Yallahs |
—
|
NE NERFINISHED |
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: Yallahs | Statement: [Yallahs Bay, locatedNear, Yallahs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yallahs Context triple: [Yallahs Bay, locatedNear, Yallahs]
-
A.
Yallahs
chosen
Yallahs is a coastal town in southeastern Jamaica known for its proximity to Kingston and its role as a local commercial and residential center in St. Thomas Parish.
-
B.
Al Daayen
Al Daayen is a municipality in northeastern Qatar known for its rapidly developing residential areas and proximity to the capital, Doha.
-
C.
Hawaizaada
Hawaizaada is a 2015 Indian Hindi-language biographical drama film inspired by the life and experiments of aviation pioneer Shivkar Bapuji Talpade.
-
D.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
E.
Hullabaloo
Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3174008190a2b5bb1b061ea4df |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.