Triple
T4439508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spelsbury |
E95734
|
entity |
| Predicate | populationCensus2011 |
P38663
|
FINISHED |
| Object | 305 |
—
|
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: 305 | Statement: [Spelsbury, populationCensus2011, 305]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCensus2011 Context triple: [Spelsbury, populationCensus2011, 305]
-
A.
populationCensus2021
chosen
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
B.
populationCensusAuthority
Indicates that an entity serves as the official authority responsible for conducting and overseeing population censuses for a given jurisdiction.
-
C.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
-
D.
populationCensusYear
Indicates the specific year in which an official population census was conducted or recorded for an entity.
-
E.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.