Triple
T20081805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AutoZone Park |
E500019
|
entity |
| Predicate | distanceFromLandmark |
P53174
|
FINISHED |
| Object | near Beale Street |
—
|
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: near Beale Street | Statement: [AutoZone Park, distanceFromLandmark, near Beale Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLandmark Context triple: [AutoZone Park, distanceFromLandmark, near Beale Street]
-
A.
proximityToLandmark
chosen
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
B.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
C.
distancesFrom
Indicates the measured spatial separation between one entity and one or more other entities.
-
D.
distanceFromStPancras
Indicates the spatial distance between an entity and St Pancras.
-
E.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e665588a9c8190886b693b13a215a8 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:41 p.m.