Triple
T9697003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Square (Magic Kingdom) |
E234678
|
entity |
| Predicate | positionInPark |
P90743
|
FINISHED |
| Object | park entrance area |
—
|
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: park entrance area | Statement: [Town Square (Magic Kingdom), positionInPark, park entrance area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInPark Context triple: [Town Square (Magic Kingdom), positionInPark, park entrance area]
-
A.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
B.
inPark
Indicates that one entity is located within or inside the boundaries of a park.
-
C.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
D.
startingPark
Indicates that an entity begins or initiates its activity, route, or presence from a specified park.
-
E.
openedInPark
Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
- F. None of above. chosen
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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3a88788190a4235a1ab33341ec |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:18 p.m.