Triple
T13270601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahaina Banyan Tree |
E316044
|
entity |
| Predicate | postFireStatus |
P60365
|
FINISHED |
| Object | partially scorched but standing |
—
|
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: partially scorched but standing | Statement: [Lahaina Banyan Tree, postFireStatus, partially scorched but standing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postFireStatus Context triple: [Lahaina Banyan Tree, postFireStatus, partially scorched but standing]
-
A.
postRevoltStatus
Indicates the condition or state of an entity after a revolt or uprising has occurred.
-
B.
postConflictStatus
Indicates the condition or circumstances of an entity after a conflict or dispute has concluded.
-
C.
postAcquisitionStatus
Indicates the condition or state of an entity after it has been acquired by another party.
-
D.
postMergerStatus
Indicates the status or condition of an entity following the completion of a merger.
-
E.
postDisasterStatus
chosen
Indicates the condition or state of an entity following the occurrence of a disaster.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.