Triple
T22701557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kekaulike Market |
E561336
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kekaulike Market |
—
|
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: Kekaulike Market | Statement: [Kekaulike Market, name, Kekaulike Market]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kekaulike Market Context triple: [Kekaulike Market, name, Kekaulike Market]
-
A.
Kekaulike Market
chosen
Kekaulike Market is a bustling open-air produce and food market in Honolulu’s Chinatown known for its fresh fruits, vegetables, seafood, and Asian groceries.
-
B.
Wunti Market
Wunti Market is a major traditional commercial hub in Bauchi, Nigeria, known for its bustling trade in foodstuffs, textiles, and everyday goods.
-
C.
Dapitan Market
Dapitan Market is a well-known bargain hub in Manila popular for affordable goods, school supplies, and student-friendly shopping.
-
D.
Nakasero Market
Nakasero Market is a bustling open-air and covered marketplace in central Kampala, Uganda, known for its fresh produce, textiles, and everyday goods.
-
E.
Tejuosho Market
Tejuosho Market is a major open-air and partly modernized commercial hub in Lagos, Nigeria, known for its dense concentration of stalls selling textiles, household goods, electronics, and everyday consumer items.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cb2f548190bfc6f050be7c795a |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:15 p.m.