Triple
T29112707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Micronesia |
E736955
|
entity |
| Predicate | newPlayersCount |
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, newPlayersCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newPlayersCount Context triple: [Survivor: Micronesia, newPlayersCount, 10]
-
A.
hasPlayerCount
chosen
Indicates the number of players associated with or participating in a given entity or activity.
-
B.
playerNumber
Indicates the specific jersey or identification number assigned to a player within a team or game context.
-
C.
maximumPlayerCount
Indicates the largest number of players that can participate at the same time in the related context or activity.
-
D.
maxOnlinePlayers
Indicates the maximum number of players that can be connected or participating simultaneously in an online context.
-
E.
numberOfPlayersLAN
Indicates the number of players that can participate together over a local area network (LAN) in the related context.
- 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_69f661ed89f08190a52d68a08a0be6bb |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:19 a.m.