Triple
T33508355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fineview |
E858173
|
entity |
| Predicate | hasCityNeighborhoodNumber |
P120021
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Fineview, hasCityNeighborhoodNumber, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityNeighborhoodNumber Context triple: [Fineview, hasCityNeighborhoodNumber, 24]
-
A.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
B.
hasUrbanDistrictNumber
Indicates that an entity is assigned a specific identifying number corresponding to its urban district.
-
C.
hasCityDistrictCode
Indicates that a city district is associated with a specific identifying code.
-
D.
hasNeighbourhoodCount
Indicates the number of neighbourhoods associated with a given entity.
-
E.
hasNumberOfBarrios
chosen
Indicates the specific count of barrios (neighborhoods) 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 1:38 a.m.