Triple
T11660026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodland Mansion |
E277096
|
entity |
| Predicate | primaryUseByPlayers |
P100832
|
FINISHED |
| Object | Loot acquisition |
—
|
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: Loot acquisition | Statement: [Woodland Mansion, primaryUseByPlayers, Loot acquisition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseByPlayers Context triple: [Woodland Mansion, primaryUseByPlayers, Loot acquisition]
-
A.
primaryUseDuringGames
Indicates that something is mainly used or employed during games or gameplay activities.
-
B.
isUsedToPlay
Indicates that something serves as an instrument, tool, or medium for engaging in a game, sport, or other form of play.
-
C.
primarilyUsedBy
Indicates that something is mainly or most commonly used by a particular entity or group.
-
D.
primaryGameType
Indicates the main category or type of game with which an entity is primarily associated.
-
E.
isTypicallyPlayed
Indicates that an activity, game, or sport is commonly engaged in or performed by a particular type of participant or group.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:39 p.m.