Triple
T22742097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1979 NHL–WHA merger |
E562439
|
entity |
| Predicate | numberOfTeamsAbsorbed |
P149550
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1979 NHL–WHA merger, numberOfTeamsAbsorbed, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsAbsorbed Context triple: [1979 NHL–WHA merger, numberOfTeamsAbsorbed, 4]
-
A.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
-
B.
numberOfNewTeams
Indicates the quantity of teams that are newly formed or added within a specified context or time frame.
-
C.
formerNumberOfTeams
Indicates the number of teams that an entity previously had before a change or reorganization.
-
D.
advancesNumberOfTeams
Indicates that one entity causes an increase in how many teams progress or move forward in a given context.
-
E.
eliminatedTeamsCount
Indicates the number of teams that have been removed from contention or disqualified in a given context or competition.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:23 p.m.