Triple
T18641673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Presidents Cup team |
E455702
|
entity |
| Predicate | hasHomeStatusInEvent |
P132813
|
FINISHED |
| Object | home team when event in United States |
—
|
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: home team when event in United States | Statement: [United States Presidents Cup team, hasHomeStatusInEvent, home team when event in United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeStatusInEvent Context triple: [United States Presidents Cup team, hasHomeStatusInEvent, home team when event in United States]
-
A.
hasHome
Indicates that an entity possesses or is associated with a place where it lives or is based.
-
B.
statusInHouse
Indicates the specific role, position, or standing an entity holds within a particular house or household.
-
C.
eventStatus
Indicates the current state or phase of an event within its lifecycle (e.g., planned, ongoing, completed, or canceled).
-
D.
hasEventOutcome
Indicates that a particular event results in, leads to, or is associated with a specific outcome.
-
E.
hadEvent
Indicates that an entity experienced, hosted, or was associated with a specific event at some point in time.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fccafec8190a340356d5bbd3cdf |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.