Triple
T30663512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan-Pacific Auditorium |
E780594
|
entity |
| Predicate | materialAfterFire |
P146861
|
FINISHED |
| Object | ruins |
—
|
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: ruins | Statement: [Pan-Pacific Auditorium, materialAfterFire, ruins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialAfterFire Context triple: [Pan-Pacific Auditorium, materialAfterFire, ruins]
-
A.
materialFired
Indicates that a material has been subjected to a firing process, typically involving high heat treatment such as in a kiln or furnace.
-
B.
destroyedByFire
Indicates that something has been ruined, damaged, or rendered unusable as a direct result of a fire.
-
C.
fireTowerMaterial
Indicates the material from which a fire tower is constructed or primarily made.
-
D.
partiallyDestroyedByFire
Indicates that an entity has been damaged to some extent, but not completely destroyed, as a result of a fire.
-
E.
consequenceOfFire
chosen
Indicates that something occurs as a result or outcome of a fire.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 8:31 p.m.