Triple
T2266430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Red Bulls II |
E50154
|
entity |
| Predicate | reserveStatus |
P127
|
FINISHED |
| Object | second team of New York Red Bulls |
—
|
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: second team of New York Red Bulls | Statement: [New York Red Bulls II, reserveStatus, second team of New York Red Bulls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reserveStatus Context triple: [New York Red Bulls II, reserveStatus, second team of New York Red Bulls]
-
A.
reservedFor
Indicates that something is set aside or allocated specifically for the use, benefit, or purpose of a particular entity or group.
-
B.
modernReservationState
Indicates that an entity is currently in a contemporary or up-to-date state of reservation (e.g., booked, held, or scheduled) according to the modern reservation system.
-
C.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
E.
reserves
Indicates that an entity has arranged in advance to hold or secure something for future use or access.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.