Triple
T15907866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilton HHonors |
E385767
|
entity |
| Predicate | availableAt |
P3021
|
FINISHED |
| Object | Tru by Hilton |
E574562
|
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: Tru by Hilton | Statement: [Hilton HHonors, availableAt, Tru by Hilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tru by Hilton Context triple: [Hilton HHonors, availableAt, Tru by Hilton]
-
A.
Tru by Hilton
chosen
Tru by Hilton is a midscale hotel brand offering modern, budget-friendly accommodations with a focus on vibrant, social common areas and streamlined guest rooms.
-
B.
Hyatt House
Hyatt House is an extended-stay, residential-style hotel brand within the Hyatt Hotels Corporation portfolio, offering apartment-like accommodations with hotel services.
-
C.
Canopy by Hilton
Canopy by Hilton is a lifestyle hotel brand offering locally inspired, design-focused accommodations aimed at modern, experience-seeking travelers.
-
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.
Hyatt
Hyatt is a global hospitality company known for its upscale and luxury hotels, resorts, and branded properties around the world.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.