Triple
T4341639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holt End, Hampshire |
E97793
|
entity |
| Predicate | hasGeographicLocationType |
P28105
|
FINISHED |
| Object | rural area |
—
|
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: rural area | Statement: [Holt End, Hampshire, hasGeographicLocationType, rural area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicLocationType Context triple: [Holt End, Hampshire, hasGeographicLocationType, rural area]
-
A.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
B.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
C.
hasMainLocationType
chosen
Indicates that an entity is associated with a primary or predominant type of location that characterizes where it is mainly situated or operates.
-
D.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
E.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.