Triple
T25089498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang Kai-shek statues |
E628414
|
entity |
| Predicate | notableConcentrationSite |
P149636
|
FINISHED |
| Object | Cihu Memorial Sculpture Park |
—
|
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: Cihu Memorial Sculpture Park | Statement: [Chiang Kai-shek statues, notableConcentrationSite, Cihu Memorial Sculpture Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableConcentrationSite Context triple: [Chiang Kai-shek statues, notableConcentrationSite, Cihu Memorial Sculpture Park]
-
A.
notableStateConcentration
Indicates that a significant portion of the instances or activity of something is concentrated within a particular state or region.
-
B.
notableSite
Indicates that a site holds particular significance, prominence, or recognition in some context.
-
C.
notableSiteFor
chosen
Indicates that a site is particularly recognized or distinguished for a specific feature, activity, event, or characteristic.
-
D.
notableSiteType
Indicates that a site is notable specifically for being of a particular type or category (e.g., a notable example of that kind of site).
-
E.
notableSiteInvestigated
Indicates that a particular site has been the subject of a notable or significant investigation.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 18, 2026, 6:24 a.m.