Triple
T34780563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miral |
E1002645
|
entity |
| Predicate | industryCategory |
P24922
|
FINISHED |
| Object | hospitality and tourism |
—
|
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: hospitality and tourism | Statement: [Miral, industryCategory, hospitality and tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryCategory Context triple: [Miral, industryCategory, hospitality and tourism]
-
A.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
-
B.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
C.
industryContext
chosen
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
D.
industryStatus
Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
-
E.
industryIntegrated
Indicates that something is closely connected or coordinated with industry practices, partners, or environments, often through collaboration, alignment, or direct involvement.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.