Triple
T26094759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buk-gu, Busan |
E658230
|
entity |
| Predicate | hasAreaRankInBusan |
P150581
|
FINISHED |
| Object | one of 16 districts and counties of Busan |
—
|
LITERAL 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: one of 16 districts and counties of Busan | Statement: [Buk-gu, Busan, hasAreaRankInBusan, one of 16 districts and counties of Busan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaRankInBusan Context triple: [Buk-gu, Busan, hasAreaRankInBusan, one of 16 districts and counties of Busan]
-
A.
hasRankByArea
chosen
Indicates that something is assigned a position or ranking based on its area size.
-
B.
hasAreaRankInTaiwan
Indicates the relative ranking of an entity by its area size compared to other entities within Taiwan.
-
C.
PohangIs
Indicates that something is identified as or classified as being Pohang.
-
D.
distanceFromApia
Indicates the measured distance between a given location and Apia.
-
E.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
- F. None of above.
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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 7:50 p.m.