Triple
T20700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Chicago Fire of 1871 |
E410
|
entity |
| Predicate | ledTo |
P693
|
FINISHED |
| Object | major rebuilding of Chicago |
—
|
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: major rebuilding of Chicago | Statement: [Great Chicago Fire of 1871, ledTo, major rebuilding of Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledTo Context triple: [Great Chicago Fire of 1871, ledTo, major rebuilding of Chicago]
-
A.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
-
B.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
C.
demonstratedBy
Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
-
D.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
E.
triggered
chosen
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a246f7bd30819085f751c41f6f029e |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a246526f5881909bc2a46e978bd082 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.