Triple
T30157883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8440 Wilshire Boulevard |
E766571
|
entity |
| Predicate | nearestMajorIntersection |
P31669
|
FINISHED |
| Object | Wilshire Boulevard and La Cienega Boulevard |
—
|
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: Wilshire Boulevard and La Cienega Boulevard | Statement: [8440 Wilshire Boulevard, nearestMajorIntersection, Wilshire Boulevard and La Cienega Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorIntersection Context triple: [8440 Wilshire Boulevard, nearestMajorIntersection, Wilshire Boulevard and La Cienega Boulevard]
-
A.
nearestRoadHead
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
-
B.
nearbyMajorRoad
Indicates that one entity is located close to a significant or heavily used road.
-
C.
nearestInterstateExit
Indicates the relationship where a given location is associated with the closest interstate highway exit to it.
-
D.
nearestMajorRailwayJunction
Indicates the closest significant railway junction in terms of distance from a given location or entity.
-
E.
nearJunctionOf
chosen
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 7:21 p.m.