Triple
T27809288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Street Cinema |
E702474
|
entity |
| Predicate | partOfLand |
P18199
|
FINISHED |
| Object | Main Street, U.S.A. at Disneyland Park |
—
|
NE NERFINISHED |
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: Main Street, U.S.A. at Disneyland Park | Statement: [Main Street Cinema, partOfLand, Main Street, U.S.A. at Disneyland Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLand Context triple: [Main Street Cinema, partOfLand, Main Street, U.S.A. at Disneyland Park]
-
A.
partOfTerritory
Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
-
B.
landComponent
chosen
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
C.
isPartOfPeninsula
Indicates that one geographic entity is located within and forms a component of a larger peninsula.
-
D.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
E.
isPartOfCoastOf
Indicates that one entity forms a segment or component of the coastline belonging to another entity.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 27, 2026, 5:41 p.m.