Triple
T28668069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkham Horror |
E725634
|
entity |
| Predicate | playerCountMinimum |
P9344
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Arkham Horror, playerCountMinimum, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerCountMinimum Context triple: [Arkham Horror, playerCountMinimum, 1]
-
A.
maximumPlayerCount
Indicates the largest number of players that can participate at the same time in the related context or activity.
-
B.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
C.
minimumNumberOfMembers
chosen
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
D.
minimumNumberOnCourt
Indicates the smallest required number of participants that must be present on the court for play or a rule condition to be satisfied.
-
E.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 5:02 a.m.