Triple
T24709189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonohyan-utaki sacred grove |
E611980
|
entity |
| Predicate | gateStyle |
P157017
|
FINISHED |
| Object | Ryukyuan architectural style |
—
|
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: Ryukyuan architectural style | Statement: [Sonohyan-utaki sacred grove, gateStyle, Ryukyuan architectural style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gateStyle Context triple: [Sonohyan-utaki sacred grove, gateStyle, Ryukyuan architectural style]
-
A.
gateType
Indicates the specific kind or classification of a gate associated with an entity.
-
B.
gateWeight
Indicates the weight or importance assigned to a particular gate or transition within a process, model, or system.
-
C.
gateColor
Indicates the color attribute associated with a gate.
-
D.
gateHeight
Indicates the vertical size or elevation of a gate, typically measured from its base to its top.
-
E.
gateOrientation
Indicates the directional alignment or facing direction of a gate relative to a reference frame or coordinate system.
- F. None of above. chosen
Provenance (4 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:24 a.m.