Triple
T30475797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Cat |
E775438
|
entity |
| Predicate | hasProximityAdvantage |
P635
|
FINISHED |
| Object | access to Ho Chi Minh City market |
—
|
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: access to Ho Chi Minh City market | Statement: [Ben Cat, hasProximityAdvantage, access to Ho Chi Minh City market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProximityAdvantage Context triple: [Ben Cat, hasProximityAdvantage, access to Ho Chi Minh City market]
-
A.
hasEnduranceAdvantageOver
Indicates that one entity possesses greater stamina or lasting physical capability compared to another entity.
-
B.
hasAdvantage
chosen
Indicates that one entity possesses a benefit, edge, or favorable position over another in a given context.
-
C.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
-
D.
hasNearbyMode
Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
-
E.
isCloseTo
Indicates that one entity is physically or conceptually near another, within a relatively short distance or range.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: April 29, 2026, 8:11 p.m.