Triple
T37874720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundry |
E944687
|
entity |
| Predicate | playAreaType |
P74153
|
FINISHED |
| Object | single-session timed runs |
—
|
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: single-session timed runs | Statement: [Foundry, playAreaType, single-session timed runs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playAreaType Context triple: [Foundry, playAreaType, single-session timed runs]
-
A.
hasPlayAreaType
chosen
Indicates the specific kind or category of play area associated with an entity (e.g., indoor, outdoor, playground type).
-
B.
activityZone
Indicates that something is located within, associated with, or designated as a specific area where a particular activity or set of activities takes place.
-
C.
arenaType
Indicates the specific kind or category of arena associated with an entity or event.
-
D.
spectatorAreaType
Indicates the specific kind or category of area designated for spectators in a venue or event setting.
-
E.
gameZoneType
Indicates the classification or category of a game zone within a game environment (e.g., safe area, combat zone, tutorial area).
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:19 p.m.