Triple
T2119214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deansgate Square development |
E43878
|
entity |
| Predicate | hasResidentialUnits |
P31309
|
FINISHED |
| Object | apartments |
—
|
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: apartments | Statement: [Deansgate Square development, hasResidentialUnits, apartments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialUnits Context triple: [Deansgate Square development, hasResidentialUnits, apartments]
-
A.
hasHousingUnits
chosen
Indicates that an entity possesses or contains a specified number or set of housing units.
-
B.
isResidential
Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
-
C.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
D.
numberOfHousingUnits
Indicates the total count of distinct housing units associated with an entity or within a specified area.
-
E.
hasNumberOfHouses
Indicates the quantity of houses associated with a given 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb32efb48190bcb99f30787a3a55 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.