Triple
T11801586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bexley and Sidcup |
E280637
|
entity |
| Predicate | representationStartYear |
P10338
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Old Bexley and Sidcup, representationStartYear, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationStartYear Context triple: [Old Bexley and Sidcup, representationStartYear, 1983]
-
A.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
-
B.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
C.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
D.
typicalStartYear
Indicates the year in which something (such as an event, activity, or process) usually or customarily begins.
-
E.
directorStartYear
Indicates the year in which an individual began serving as a director (e.g., of a film, organization, or project).
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.