Triple
T17106079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Arena Lighthouse |
E415102
|
entity |
| Predicate | destroyedPredecessorCause |
P5325
|
FINISHED |
| Object | 1906 San Francisco earthquake |
—
|
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: 1906 San Francisco earthquake | Statement: [Point Arena Lighthouse, destroyedPredecessorCause, 1906 San Francisco earthquake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destroyedPredecessorCause Context triple: [Point Arena Lighthouse, destroyedPredecessorCause, 1906 San Francisco earthquake]
-
A.
predecessorDestroyed
Indicates that one entity has caused the destruction or elimination of another entity that existed or acted before it.
-
B.
removedElementFromPredecessor
Indicates that an element has been taken out or deleted from an immediately preceding entity in a sequence or structure.
-
C.
destroyedInConflictWith
Indicates that one entity was destroyed as a direct result of a conflict or confrontation with another entity.
-
D.
destroyedFor
Indicates that one entity was ruined, eliminated, or rendered unusable specifically for the benefit, purpose, or objective of another entity.
-
E.
hasCauseOfDestruction
chosen
Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2750b481908de18e8cb8f2195c |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.