Triple
T31755845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Gateway |
E810553
|
entity |
| Predicate | relativePositionInPark |
P90743
|
FINISHED |
| Object | between United Kingdom Pavilion and France Pavilion |
—
|
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: between United Kingdom Pavilion and France Pavilion | Statement: [International Gateway, relativePositionInPark, between United Kingdom Pavilion and France Pavilion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionInPark Context triple: [International Gateway, relativePositionInPark, between United Kingdom Pavilion and France Pavilion]
-
A.
positionInPark
chosen
Indicates that one entity occupies a specific location or spot within a park.
-
B.
relativeLocationWithinZoo
Indicates that one entity is located within a specific area or subregion of a zoo relative to another entity or reference point.
-
C.
relativePositionInStadium
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
-
D.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
E.
positionRelativeToBuilding
Indicates the spatial relationship of an entity’s location with respect to a specific building (e.g., in front of, behind, adjacent to, on top of).
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:29 p.m.