Triple
T37620432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard's Rock |
E936051
|
entity |
| Predicate | vandalized |
P175461
|
FINISHED |
| Object | June 2013 |
—
|
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: June 2013 | Statement: [Howard's Rock, vandalized, June 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vandalized Context triple: [Howard's Rock, vandalized, June 2013]
-
A.
wasVandalized
chosen
Indicates that an entity has been deliberately damaged, defaced, or destroyed through an act of vandalism.
-
B.
invalidated
Indicates that one entity has rendered another entity null, void, or no longer legally or logically effective.
-
C.
corrupts
Indicates that one entity causes another entity, system, or process to become morally, functionally, or structurally degraded or impaired.
-
D.
undermined
Indicates that one entity has weakened, subverted, or reduced the effectiveness, authority, or stability of another entity or its position.
-
E.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.