Triple
T27782588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon Estates |
E699371
|
entity |
| Predicate | productionUsedRealLocation |
P24778
|
FINISHED |
| Object | Arleta, Los Angeles, California |
—
|
NE NERFINISHED |
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: Arleta, Los Angeles, California | Statement: [Lyon Estates, productionUsedRealLocation, Arleta, Los Angeles, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionUsedRealLocation Context triple: [Lyon Estates, productionUsedRealLocation, Arleta, Los Angeles, California]
-
A.
basedOnRealLocation
Indicates that something is derived from, inspired by, or modeled after an actual geographic place in the real world.
-
B.
portrayedByRealWorldLocation
Indicates that a fictional or represented location is depicted or substituted by an actual real-world location.
-
C.
usedAsLocationIn
chosen
Indicates that something serves as the setting or place where another event, action, or situation occurs.
-
D.
reportedLocation
Indicates that an entity has been specified or recorded as being at a particular location, typically based on a report or observation rather than direct verification.
-
E.
locationNowUsedAs
Indicates that a location is currently being used or repurposed for a particular function, activity, or 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 27, 2026, 5:11 p.m.