Triple
T9576554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Track pavilion |
E231059
|
entity |
| Predicate | openedAsTestTrack |
P89913
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Test Track pavilion, openedAsTestTrack, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsTestTrack Context triple: [Test Track pavilion, openedAsTestTrack, 1999]
-
A.
usedAsOpeningTrackOf
Indicates that a musical work serves as the first (opening) track on a specified release or recording.
-
B.
openedAs
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
-
C.
isClosingTrackOf
Indicates that a track serves as the final or last track on a specified release, album, or recording.
-
D.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
E.
openedWith
Indicates that an entity is opened, initiated, or accessed using a specified tool, method, or instrument.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:05 p.m.