Triple
T24913339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park La Brea |
E623906
|
entity |
| Predicate | targetDemographicAtConstruction |
P17586
|
FINISHED |
| Object | middle-income families |
—
|
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: middle-income families | Statement: [Park La Brea, targetDemographicAtConstruction, middle-income families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetDemographicAtConstruction Context triple: [Park La Brea, targetDemographicAtConstruction, middle-income families]
-
A.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
B.
targetedPopulation
chosen
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
C.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
D.
targetAudienceRatingContext
Indicates the contextual conditions or setting (such as platform, region, or usage scenario) under which a particular audience rating is intended to apply.
-
E.
targetConstituents
Indicates that a larger entity is directed toward, affects, or is specifically intended for certain constituent parts or members within a whole.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:28 a.m.