Triple
T38603011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One City, Nine Towns |
E934265
|
entity |
| Predicate | housingComponent |
P182946
|
FINISHED |
| Object | large-scale residential construction |
—
|
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: large-scale residential construction | Statement: [One City, Nine Towns, housingComponent, large-scale residential construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingComponent Context triple: [One City, Nine Towns, housingComponent, large-scale residential construction]
-
A.
housePosition
Indicates the spatial location or placement of a house relative to a reference point or area.
-
B.
housingForm
Indicates the type or structure of housing associated with an entity (e.g., apartment, single-family home, dormitory).
-
C.
housesIcon
Indicates that one entity serves as the icon or symbolic graphical representation for another entity.
-
D.
housesOperation
Indicates that one entity serves as the location or container in which an operation is based, conducted, or hosted.
-
E.
housingPlanning
chosen
Indicates a relationship where an entity is involved in planning, organizing, or regulating housing development or residential land use.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.