Triple
T22704673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honpuku-ji |
E561417
|
entity |
| Predicate | materialUsedInWaterTemple |
P116969
|
FINISHED |
| Object | reinforced concrete |
—
|
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: reinforced concrete | Statement: [Honpuku-ji, materialUsedInWaterTemple, reinforced concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInWaterTemple Context triple: [Honpuku-ji, materialUsedInWaterTemple, reinforced concrete]
-
A.
templeMaterial
chosen
Indicates that a temple is constructed from, or primarily composed of, a specified material.
-
B.
materialOfChapelRuins
Indicates that a specified material was used in the construction of the chapel whose remains or ruins are being described.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
mainAltarMaterial
Indicates the material from which the main altar is made.
-
E.
hasMainShrineMaterial
Indicates the primary material from which a shrine is constructed or predominantly made.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cdc93481908f85d04560f8c285 |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:16 p.m.