Triple
T18551265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette Avenue |
E453383
|
entity |
| Predicate | localTracksServed |
P132118
|
FINISHED |
| Object | 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: A | Statement: [Lafayette Avenue, localTracksServed, A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localTracksServed Context triple: [Lafayette Avenue, localTracksServed, A]
-
A.
networkServed
Indicates that a network provides connectivity or services to a particular entity or set of entities.
-
B.
supportsMultiRoomAudio
Indicates that the subject is capable of playing synchronized audio across multiple rooms or speakers simultaneously.
-
C.
includesLiveRecordingFrom
Indicates that something contains or incorporates a live recording sourced from another entity.
-
D.
presentlyServedBy
Indicates that an entity is currently being provided with service or attended to by another entity.
-
E.
includesLiveRecordings
Indicates that the subject contains or features recordings captured from live performances rather than studio-produced versions.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53800c0fc819097782f1e81574598 |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:38 a.m.