Triple
T12854662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Leonard Eastcheap |
E307418
|
entity |
| Predicate | notRebuiltAfterDestruction |
P19686
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [St Leonard Eastcheap, notRebuiltAfterDestruction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notRebuiltAfterDestruction Context triple: [St Leonard Eastcheap, notRebuiltAfterDestruction, true]
-
A.
notRebuiltAfter
chosen
Indicates that an entity was destroyed or damaged and has not been reconstructed or restored after a specified event or point in time.
-
B.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
C.
reopenedAfterReconstruction
Indicates that a place or facility resumed operations after undergoing reconstruction or major rebuilding work.
-
D.
hasRebuilt
Indicates that an entity has restored, reconstructed, or built again something that previously existed or was damaged or destroyed.
-
E.
destroyedMultipleTimes
Indicates that the same entity has been destroyed on more than one distinct occasion.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:37 p.m.