Triple
T12828534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travel.com.au |
E306721
|
entity |
| Predicate | offersHolidayPackages |
P107093
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Travel.com.au, offersHolidayPackages, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersHolidayPackages Context triple: [Travel.com.au, offersHolidayPackages, true]
-
A.
offersTours
Indicates that one entity provides or makes available guided tours or tour services to another entity.
-
B.
offersDestination
Indicates that one entity provides or makes available another entity as a possible destination.
-
C.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
D.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
E.
offersSchedule
Indicates that one entity provides or makes available a specific schedule to another entity or for a particular purpose.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:34 p.m.