Triple
T24913319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park La Brea |
E623906
|
entity |
| Predicate | numberOfGardenApartmentBuildings |
P168526
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [Park La Brea, numberOfGardenApartmentBuildings, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGardenApartmentBuildings Context triple: [Park La Brea, numberOfGardenApartmentBuildings, 31]
-
A.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
B.
numberOfGardens
Indicates the quantity of gardens associated with a given entity.
-
C.
numberOfFlats
Indicates the total count of individual flats (apartment units) associated with a given entity.
-
D.
numberOfBalconies
Indicates the quantity of balconies associated with a given entity or property.
-
E.
numberOfHouses
Indicates the quantity of houses associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 18, 2026, 5:28 a.m.