Triple
T34801213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Eden |
E1003221
|
entity |
| Predicate | hasMajorThoroughfareNearby |
P49834
|
FINISHED |
| Object | Jerome Avenue |
E296719
|
NE 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: Jerome Avenue | Statement: [Mount Eden, hasMajorThoroughfareNearby, Jerome Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorThoroughfareNearby Context triple: [Mount Eden, hasMajorThoroughfareNearby, Jerome Avenue]
-
A.
nearbyMajorRoad
chosen
Indicates that one entity is located close to a significant or heavily used road.
-
B.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
C.
hasNearbyTransportationCorridor
Indicates that an entity is located close to a significant transportation route or corridor, such as a road, railway, or transit line.
-
D.
hasNearbyStreet
Indicates that one entity is located close to or adjacent to a street.
-
E.
isThoroughfareFor
Indicates that something serves as a route or passageway used for travel or transportation between places.
- F. None of above.
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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a01c74a72fc819084826c6c292af03a |
completed | May 11, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a42661ed72c8190961738e37653bf7e |
completed | June 29, 2026, 12:33 p.m. |
| PD | Predicate disambiguation | batch_6a01c624103c819087cb35a71c5868b6 |
completed | May 11, 2026, 12:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.