Triple
T4660373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pudding Lane |
E102513
|
entity |
| Predicate | fireAftermath |
P48782
|
FINISHED |
| Object | area rebuilt after the Great Fire of London |
—
|
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: area rebuilt after the Great Fire of London | Statement: [Pudding Lane, fireAftermath, area rebuilt after the Great Fire of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fireAftermath Context triple: [Pudding Lane, fireAftermath, area rebuilt after the Great Fire of London]
-
A.
fires
Indicates that an agent initiates the discharge or ignition of something, such as a weapon, engine, or explosive device, causing it to operate or go off.
-
B.
aftermathOf
chosen
Indicates that one event, state, or condition occurs as a consequence or result following another event.
-
C.
fireEffect
Indicates that one entity produces, causes, or is associated with a fire-related impact or consequence on another entity.
-
D.
underFire
Indicates that an entity is being attacked, heavily criticized, or subjected to intense pressure by another entity or group.
-
E.
handledAftermathOf
Indicates that one entity took responsibility for dealing with the consequences or fallout that occurred after another entity’s actions or events.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632a17cc8190bcdab0a13b89f5c0 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.