Triple
T28830322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonge with the Haulgh |
E728029
|
entity |
| Predicate | isResidentialDistrictOf |
P143766
|
FINISHED |
| Object | Bolton |
—
|
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: Bolton | Statement: [Tonge with the Haulgh, isResidentialDistrictOf, Bolton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isResidentialDistrictOf Context triple: [Tonge with the Haulgh, isResidentialDistrictOf, Bolton]
-
A.
isResidentialBuildingIn
Indicates that a residential building is located within or belongs to a specified geographic area or administrative region.
-
B.
isInResidentialArea
chosen
Indicates that something is located within a residential area, such as a neighborhood or zone primarily designated for housing.
-
C.
isResidentialUnitOf
Indicates that a specific residential unit (e.g., apartment, house) belongs to or is part of a larger property, building, or complex.
-
D.
isResidential
Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
-
E.
isResidentialTown
Indicates that a town is primarily used or designated for residential living rather than for commercial, industrial, or other primary purposes.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6593b9f78819093476a4053ae3645 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:37 a.m.