Triple
T32713253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 NBA Finals |
E836452
|
entity |
| Predicate | venueCityGame2 |
P175035
|
FINISHED |
| Object | Philadelphia |
—
|
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: Philadelphia | Statement: [1967 NBA Finals, venueCityGame2, Philadelphia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueCityGame2 Context triple: [1967 NBA Finals, venueCityGame2, Philadelphia]
-
A.
venueCityGame1
Indicates that the venue associated with the first game is located in a particular city.
-
B.
cityOfGames
Indicates that a location is recognized as a major center or hub for games, gaming activities, or the games industry.
-
C.
game5City
Indicates that a particular game or sporting event took place in, or is associated with, a specific city.
-
D.
game6City
Indicates that a game or sporting event took place in, or is associated with, a particular city.
-
E.
playInGameCity
Indicates that an entity participates in or plays in a game that takes place in a specified city.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:11 a.m.