Triple
T11761902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Marriott Marquis |
E279676
|
entity |
| Predicate | chain |
P58694
|
FINISHED |
| Object | Marriott |
E246350
|
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: Marriott | Statement: [New York Marriott Marquis, chain, Marriott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marriott Context triple: [New York Marriott Marquis, chain, Marriott]
-
A.
Hilton
Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
-
B.
Marriotts
Marriotts is likely a person or family name commemorated by having Marriotts Stadium named in their honor.
-
C.
Marriott International
chosen
Marriott International is a global hospitality company that owns, manages, and franchises a wide portfolio of hotel and lodging brands worldwide.
-
D.
Westin
Westin is an upscale hotel and resort brand known for its wellness-focused amenities, including signature Heavenly Beds and fitness-oriented services.
-
E.
JW Marriott
JW Marriott is a luxury hotel brand within Marriott International known for its upscale accommodations, refined service, and business-oriented amenities 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1309f25a88190b0acaf7d9be6ae59 |
completed | April 28, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:41 p.m.