Triple
T4758726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Village |
E105649
|
entity |
| Predicate | hasSubFacility |
P12416
|
FINISHED |
| Object | athletes’ dining hall |
—
|
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: athletes’ dining hall | Statement: [Olympic Village, hasSubFacility, athletes’ dining hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubFacility Context triple: [Olympic Village, hasSubFacility, athletes’ dining hall]
-
A.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
B.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
C.
isNamedFacilityOf
Indicates that a facility bears the official name associated with a particular entity (such as an organization, person, or place).
-
D.
hasSubfleet
Indicates that one fleet entity contains or manages another fleet entity as a subordinate or component fleet.
-
E.
isPrimaryFacilityFor
Indicates that one facility serves as the main or principal location responsible for supporting or serving a particular entity or operation.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650c11f4819098cd1f490f711dc8 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.