Triple
T438264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Tower of the World Trade Center |
E10057
|
entity |
| Predicate | collapseTime |
P1936
|
FINISHED |
| Object | 2001-09-11T10:28:22-04:00 |
—
|
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: 2001-09-11T10:28:22-04:00 | Statement: [North Tower of the World Trade Center, collapseTime, 2001-09-11T10:28:22-04:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collapseTime Context triple: [North Tower of the World Trade Center, collapseTime, 2001-09-11T10:28:22-04:00]
-
A.
collapsedDuring
Indicates that one entity structurally failed or fell down while another specified event or process was occurring.
-
B.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
C.
time
chosen
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
D.
drop
Indicates that an entity causes something to fall or be released from a higher position to a lower one.
-
E.
closed
Indicates that an entity has brought something (such as an object, container, or space) from an open state into a shut or sealed state, or that it is currently in that shut state.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.