Triple
T30066657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starwood Hotels & Resorts |
E764049
|
entity |
| Predicate | numberOfProperties |
P13355
|
FINISHED |
| Object | over 1,200 |
—
|
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: over 1,200 | Statement: [Starwood Hotels & Resorts, numberOfProperties, over 1,200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProperties Context triple: [Starwood Hotels & Resorts, numberOfProperties, over 1,200]
-
A.
numberOfPropertiesManaged
chosen
Indicates the total count of properties that an entity is responsible for managing.
-
B.
numberOfAttributes
Indicates the total count of distinct attributes or properties associated with a given entity or object.
-
C.
numericProperty
Indicates that an entity has a specific numerical attribute or value associated with it.
-
D.
numberOfEntries
Indicates the total count of individual items, records, or instances associated with a given entity or context.
-
E.
numberOfPropositions
Indicates the total count of distinct propositions associated with or contained within a given entity or context.
- F. None of above.
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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a003f6083608190a5deadc7291cf70e |
completed | May 10, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_6a003c935c40819085fdb255a52ba03b |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 29, 2026, 6:59 p.m.