Triple
T849974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Fire of London |
E18361
|
entity |
| Predicate | firefightingMethods |
P21100
|
FINISHED |
| Object | firebreaks created by demolishing buildings |
—
|
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: firebreaks created by demolishing buildings | Statement: [Great Fire of London, firefightingMethods, firebreaks created by demolishing buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firefightingMethods Context triple: [Great Fire of London, firefightingMethods, firebreaks created by demolishing buildings]
-
A.
fireRescue
Indicates a relationship where one entity performs or is responsible for rescuing people or property from fires or fire-related emergencies involving another entity.
-
B.
fireModes
Indicates the different ways or settings in which a weapon or device can be fired or operated.
-
C.
fireAdaptation
Indicates that an entity possesses traits or mechanisms that enable it to survive, reproduce, or otherwise benefit in environments where fire occurs.
-
D.
selectFire
Indicates choosing or designating a specific fire source, mode, or target for use or activation.
-
E.
detonationMethod
Indicates the method or mechanism by which an explosive device is triggered or detonated.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac215194819099e6bc1b5df58fb3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa807adc8190ad808a573cf8e923 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4abb157d08190a7d7281eb3f1b788 |
completed | March 1, 2026, 9:12 p.m. |
Created at: March 1, 2026, 7:38 p.m.