Triple
T26013349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liquid Rainbow |
E646958
|
entity |
| Predicate | mainTownAccess |
P22318
|
FINISHED |
| Object | La Macarena |
—
|
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: La Macarena | Statement: [Liquid Rainbow, mainTownAccess, La Macarena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTownAccess Context triple: [Liquid Rainbow, mainTownAccess, La Macarena]
-
A.
majorAccessTown
chosen
Indicates that a location serves as a primary or significant access point to a town, such as a main route, gateway, or connection hub.
-
B.
accessTown
Indicates that an entity has the ability or permission to enter or make use of a particular town.
-
C.
parkAccessTown
Indicates that a town has access rights or connectivity to a particular park.
-
D.
countryOfAccessTown
Indicates the country in which the specified town providing access (e.g., to a service, resource, or location) is located.
-
E.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 9:02 a.m.