Triple
T8678886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1917–18 NHL season |
E205982
|
entity |
| Predicate | locationOfMostGames |
P12966
|
FINISHED |
| Object | indoor ice rinks |
—
|
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: indoor ice rinks | Statement: [1917–18 NHL season, locationOfMostGames, indoor ice rinks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfMostGames Context triple: [1917–18 NHL season, locationOfMostGames, indoor ice rinks]
-
A.
typicalGameLocation
chosen
Indicates the usual or characteristic place where a game is played or takes place.
-
B.
game1Location
Indicates the physical or virtual place where the first game is held or takes place.
-
C.
cityOfGames
Indicates that a location is recognized as a major center or hub for games, gaming activities, or the games industry.
-
D.
worldSeriesGameLocation
Indicates the specific venue or place where a particular World Series game is held.
-
E.
cityOfGame1And2
Indicates that the referenced city is the location associated with both game 1 and game 2.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.