Triple
T13671401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyatt Ziva |
E327755
|
entity |
| Predicate | differentiatedFrom |
P6335
|
FINISHED |
| Object | Hyatt Zilara |
E328819
|
NE 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: Hyatt Zilara | Statement: [Hyatt Ziva, differentiatedFrom, Hyatt Zilara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyatt Zilara Context triple: [Hyatt Ziva, differentiatedFrom, Hyatt Zilara]
-
A.
Hyatt Zilara
chosen
Hyatt Zilara is an adults-only, all-inclusive luxury resort brand known for its beachfront properties and upscale amenities in popular vacation destinations.
-
B.
Hyatt Ziva
Hyatt Ziva is an all-inclusive, family-friendly resort brand operated by Hyatt, known for beachfront locations and comprehensive vacation amenities.
-
C.
Hyatt
Hyatt is a global hospitality company known for its upscale and luxury hotels, resorts, and branded properties around the world.
-
D.
Hyatt
Hyatt is a surname most notably associated with Alpheus Hyatt, an American zoologist and paleontologist known for his work on evolutionary theory and cephalopods.
-
E.
Park Hyatt
Park Hyatt is a luxury hotel brand known for its upscale accommodations, personalized service, and prime locations in major cities and resort destinations worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943bfaf0819097410e901847d77c |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.