Triple
T2505464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunderland |
E52568
|
entity |
| Predicate | metropolitanBoroughPopulationApprox |
P38055
|
FINISHED |
| Object | 275000 |
—
|
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: 275000 | Statement: [Sunderland, metropolitanBoroughPopulationApprox, 275000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metropolitanBoroughPopulationApprox Context triple: [Sunderland, metropolitanBoroughPopulationApprox, 275000]
-
A.
containsMetropolitanBorough
Indicates that an administrative area includes within its boundaries one or more metropolitan boroughs as subordinate units.
-
B.
isMetropolitanBorough
Indicates that an entity functions as a metropolitan borough, i.e., a local government district within a large urban area that has borough status.
-
C.
partOfMetropolitanBorough
Indicates that one administrative area is contained within and governed as part of a specific metropolitan borough.
-
D.
municipalityPopulation
chosen
Indicates the total number of inhabitants living within a given municipality.
-
E.
hasMetropolitanBoroughStatus
Indicates that an administrative area holds the legal and governmental status of a metropolitan borough.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.