Triple
T36387796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women's national water polo team |
E896243
|
entity |
| Predicate | typicalHomeVenueCountry |
P53278
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [United States women's national water polo team, typicalHomeVenueCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHomeVenueCountry Context triple: [United States women's national water polo team, typicalHomeVenueCountry, United States]
-
A.
homeVenueCountry
chosen
Indicates the country in which an entity’s primary or home venue is located.
-
B.
generalHouseCountry
Indicates that a house or legislative body is associated with, belongs to, or operates within a particular country.
-
C.
hallCountry
Indicates that a hall (such as a building or venue) is located in or belongs to a specific country.
-
D.
home venue type
Indicates the kind or category of place that serves as the primary location where an entity regularly hosts its events or activities.
-
E.
homeVenueRegion
Indicates the geographic region in which an entity’s primary or home venue is located.
- F. None of above.
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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39cfb83e848190b1f70dc2deebce10 |
completed | June 23, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.