Triple
T9697004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Square (Magic Kingdom) |
E234678
|
entity |
| Predicate | positionInLand |
P75615
|
FINISHED |
| Object | southern end of Main Street, U.S.A. |
—
|
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: southern end of Main Street, U.S.A. | Statement: [Town Square (Magic Kingdom), positionInLand, southern end of Main Street, U.S.A.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInLand Context triple: [Town Square (Magic Kingdom), positionInLand, southern end of Main Street, U.S.A.]
-
A.
positionOnTerritory
chosen
Indicates that one entity occupies or is located at a specific position within the spatial extent of another entity’s territory.
-
B.
isInLand
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
C.
usesOnLand
Indicates that one entity employs or operates another entity specifically in a land-based context.
-
D.
positionRelativeToCoast
Indicates the spatial relationship of something to a coastline, such as its distance or orientation relative to the coast.
-
E.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
- 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_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. |
Created at: March 30, 2026, 8:18 p.m.