Triple
T5400205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantopia |
E120753
|
entity |
| Predicate | hasGuestServices |
P22278
|
FINISHED |
| Object | food and beverage locations |
—
|
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: food and beverage locations | Statement: [Pantopia, hasGuestServices, food and beverage locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuestServices Context triple: [Pantopia, hasGuestServices, food and beverage locations]
-
A.
hasVisitorServices
chosen
Indicates that an entity provides services or facilities specifically intended for visitors or guests.
-
B.
supportsGuest
Indicates that one entity provides assistance, resources, or accommodation to another entity in the role of a guest.
-
C.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
D.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
E.
hasHospitalityComponent
Indicates that something includes, involves, or is associated with a hospitality-related element, service, or function.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.