Triple
T37081154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 American League Championship Series |
E918147
|
entity |
| Predicate | hostCityTeam1HomeGames |
P17017
|
FINISHED |
| Object | Arlington, Texas |
—
|
NE NERFINISHED |
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: Arlington, Texas | Statement: [2010 American League Championship Series, hostCityTeam1HomeGames, Arlington, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityTeam1HomeGames Context triple: [2010 American League Championship Series, hostCityTeam1HomeGames, Arlington, Texas]
-
A.
cityOfHomeGamesWinningTeam
Indicates the city where the winning team plays its home games.
-
B.
locationTeam1Home
Indicates that the specified location serves as the home venue or home ground for team 1 in the relationship.
-
C.
hostTeamCity
chosen
Indicates the city where the host team is based or where it plays its home events.
-
D.
team2HomeArenaCity
Indicates the city where the second team’s home arena is located.
-
E.
locationTeam1City
Indicates the city where the first team involved in the relationship is located.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.