Triple
T7647216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Mets spring training |
E173154
|
entity |
| Predicate | beganInPortStLucie |
P77803
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [New York Mets spring training, beganInPortStLucie, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganInPortStLucie Context triple: [New York Mets spring training, beganInPortStLucie, 1988]
-
A.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
-
B.
beganPlayInLasVegas
Indicates that an entity started its playing career or activity in Las Vegas.
-
C.
beganWithFranchise
Indicates that an entity originated or started as part of a particular franchise.
-
D.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
E.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf6328c8190bce0a3f8a17ef890 |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e9ef1c81909c8bff716541ac1f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:58 p.m.