Triple
T28869088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grove Street (San Francisco) |
E729088
|
entity |
| Predicate | locatedInNeighborhoodType |
P162006
|
FINISHED |
| Object | civic and governmental district |
—
|
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: civic and governmental district | Statement: [Grove Street (San Francisco), locatedInNeighborhoodType, civic and governmental district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNeighborhoodType Context triple: [Grove Street (San Francisco), locatedInNeighborhoodType, civic and governmental district]
-
A.
isInNeighborhoodType
chosen
Indicates that one entity is located within, or belongs to, a specific category or type of neighborhood defined by the other entity.
-
B.
buildingLocatedInNeighborhood
Indicates that a specific building is situated within a particular neighborhood.
-
C.
originatedInNeighborhood
Indicates that an entity began, was founded, or first came into existence within a specific neighborhood.
-
D.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
E.
isPartOfNeighborhoodArea
Indicates that one area or unit is contained within or belongs to a specific neighborhood area.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ffc704e1e88190884928a6a5c55a87 |
completed | May 9, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69ffc6b483d881908ad872e25fa6abc5 |
completed | May 9, 2026, 11:43 p.m. |
Created at: April 28, 2026, 6:49 a.m.