Triple
T2985340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XIV Olympiad |
E80610
|
entity |
| Predicate | villageAccommodationType |
P17960
|
FINISHED |
| Object | existing military camps and colleges |
—
|
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: existing military camps and colleges | Statement: [XIV Olympiad, villageAccommodationType, existing military camps and colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: villageAccommodationType Context triple: [XIV Olympiad, villageAccommodationType, existing military camps and colleges]
-
A.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
B.
hasAccommodation
chosen
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
C.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
D.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
E.
home venue type
Indicates the kind or category of place that serves as the primary location where an entity regularly hosts its events or activities.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c65ad0819087bb4ae92ab0dc55 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.