Triple
T18227528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Baby |
E436456
|
entity |
| Predicate | dismantledInYear |
P77993
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [Manchester Baby, dismantledInYear, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dismantledInYear Context triple: [Manchester Baby, dismantledInYear, 1949]
-
A.
dismantledIn
chosen
Indicates that an entity was taken apart, disassembled, or broken down within a specified context, such as a particular time, place, or event.
-
B.
dismantlingStartYear
Indicates the calendar year in which the process of dismantling or decommissioning an entity begins.
-
C.
partiallyDismantledInYear
Indicates that an entity was only partly taken apart, deconstructed, or removed in the specified year.
-
D.
destructionYear
Indicates the year in which an entity was destroyed or ceased to exist due to destructive events or actions.
-
E.
dismantledBy
Indicates that something has been taken apart, disassembled, or broken down by a particular agent or entity.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b0ed5c819096f4fd3a8debc1a4 |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.