Triple
T7786468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Cosmos |
E187256
|
entity |
| Predicate | squadCharacteristic |
P79007
|
FINISHED |
| Object | featured multiple World Cup winners |
—
|
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: featured multiple World Cup winners | Statement: [New York Cosmos, squadCharacteristic, featured multiple World Cup winners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squadCharacteristic Context triple: [New York Cosmos, squadCharacteristic, featured multiple World Cup winners]
-
A.
militaryCharacteristic
Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
-
B.
squadSelectionBasis
Indicates the criterion or rationale used to choose which individuals are included in a particular squad or team.
-
C.
missionCharacteristic
Indicates that a mission possesses a specific attribute, feature, or quality that characterizes its nature or execution.
-
D.
opponentForceCharacteristic
Indicates a characteristic or attribute that describes the nature, capability, or condition of an opposing force.
-
E.
teamSpecialty
Indicates the particular area of expertise or focus that characterizes a team’s skills or activities.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
| PDg | Predicate description generation | batch_69cae7e47c5c8190bca90d45b3cdc25e |
completed | March 30, 2026, 9:15 p.m. |
Created at: March 30, 2026, 4:24 p.m.