Triple
T37263303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanutarra |
E924310
|
entity |
| Predicate | hasRoadhouseAccommodation |
P198330
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Nanutarra, hasRoadhouseAccommodation, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadhouseAccommodation Context triple: [Nanutarra, hasRoadhouseAccommodation, limited]
-
A.
hasRoadhouse
Indicates that one place or entity possesses, contains, or is associated with a roadhouse establishment.
-
B.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
C.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
-
D.
hasAccommodations
Indicates that one entity provides, contains, or offers lodging, facilities, or special arrangements for another entity.
-
E.
hasResortHotel
Indicates that one entity owns, includes, or is associated with a resort hotel as part of its facilities or offerings.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
| PDg | Predicate description generation | batch_69fedd5915588190bd884054e4be0414 |
completed | May 9, 2026, 7:08 a.m. |
Created at: May 3, 2026, 4:15 p.m.