Triple
T29112706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Micronesia |
E736955
|
entity |
| Predicate | returningPlayersCount |
P82527
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Survivor: Micronesia, returningPlayersCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returningPlayersCount Context triple: [Survivor: Micronesia, returningPlayersCount, 10]
-
A.
playerNumber
Indicates the specific jersey or identification number assigned to a player within a team or game context.
-
B.
hasPlayerCount
chosen
Indicates the number of players associated with or participating in a given entity or activity.
-
C.
includesActivePlayers
Indicates that a group, list, or collection contains one or more players who are currently active.
-
D.
hasRetiredPlayersFrom
Indicates that an entity has players who previously played for it and have since retired, originating from the specified source entity (e.g., team, league, or country).
-
E.
managedPlayers
Indicates that one entity has managerial responsibility or authority over the players represented by the other entity.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 28, 2026, 11:19 a.m.