Triple
T24699633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang Coast to Coaster |
E611694
|
entity |
| Predicate | hasMultipleInstallations |
P88031
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Boomerang Coast to Coaster, hasMultipleInstallations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleInstallations Context triple: [Boomerang Coast to Coaster, hasMultipleInstallations, true]
-
A.
associatedInstallation
Indicates a relationship where one entity is linked to, or occurs in connection with, a particular installation (such as a facility, system, or setup) with which it is contextually or functionally related.
-
B.
hasMultiplePhysicalInstances
chosen
Indicates that a single conceptual entity is realized or exists as more than one distinct physical instance.
-
C.
hasMultipleWorking
Indicates that an entity is associated with more than one working instance, role, or configuration simultaneously.
-
D.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
E.
hasMajorInstallation
Indicates that one entity possesses, hosts, or contains a primary or significant facility, base, or installation of 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 3:22 a.m.