Triple
T2879271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galaxy Entertainment Group |
E56955
|
entity |
| Predicate | operatesInIndustrySector |
P20603
|
FINISHED |
| Object | casino resorts |
—
|
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: casino resorts | Statement: [Galaxy Entertainment Group, operatesInIndustrySector, casino resorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInIndustrySector Context triple: [Galaxy Entertainment Group, operatesInIndustrySector, casino resorts]
-
A.
hasIndustrialSector
chosen
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
B.
isPartOfIndustry
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
C.
usedInIndustry
Indicates that something is employed or applied within a particular industry or industrial sector.
-
D.
alsoOperatesIn
Indicates that an entity, in addition to its primary location or domain, conducts operations or activities in another specified place or context.
-
E.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe027beb88190ad191dba52b57454 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.