Triple
T27309009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenbergen |
E689148
|
entity |
| Predicate | includesPopulationCentre |
P2106
|
FINISHED |
| Object | Steenbergen (town) |
—
|
NE NERFINISHED |
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: Steenbergen (town) | Statement: [Steenbergen, includesPopulationCentre, Steenbergen (town)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPopulationCentre Context triple: [Steenbergen, includesPopulationCentre, Steenbergen (town)]
-
A.
servesPopulationCentre
Indicates that one entity provides services or functions in support of a particular population centre.
-
B.
hasPopulationCentreFunction
Indicates that an entity serves as a population centre, fulfilling functions related to the concentration, residence, and support of a population.
-
C.
isPopulationCenter
Indicates that a location functions as a primary hub where people live, work, and concentrate in significant numbers.
-
D.
appliesToPopulationCenter
Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
-
E.
hasPopulationCenter
chosen
Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 27, 2026, 11:26 a.m.