Triple
T30853975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Gate Bridge collapse |
E785863
|
entity |
| Predicate | spanCollapsed |
P170569
|
FINISHED |
| Object | span between piers 10 and 11 |
—
|
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: span between piers 10 and 11 | Statement: [West Gate Bridge collapse, spanCollapsed, span between piers 10 and 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spanCollapsed Context triple: [West Gate Bridge collapse, spanCollapsed, span between piers 10 and 11]
-
A.
collapsedTo
Indicates that one entity has fallen down or caved in and become compressed or reduced into another state, form, or configuration.
-
B.
collapsedWith
Indicates that one entity fell down or caved in together with another entity, typically as part of the same collapse event.
-
C.
spanWhenClosed
Indicates that a span or interval exists or is measured only when its endpoints or boundaries are considered closed (inclusive).
-
D.
collapsedDueTo
Indicates that one entity fell down, caved in, or structurally failed as a result of another specified cause or factor.
-
E.
collapsedDuring
Indicates that one entity structurally failed or fell down while another specified event or process was occurring.
- F. None of above. chosen
Provenance (4 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6917eb3c08190a435aa82aea53809 |
completed | May 3, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68fb914b88190b0cad83ea9fe9dfc |
completed | May 2, 2026, 11:58 p.m. |
Created at: April 29, 2026, 8:46 p.m.