Triple
T22070676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerome |
E545396
|
entity |
| Predicate | hasCurrentEconomyBasedOn |
P42486
|
FINISHED |
| Object | 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: tourism | Statement: [Jerome, hasCurrentEconomyBasedOn, tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentEconomyBasedOn Context triple: [Jerome, hasCurrentEconomyBasedOn, tourism]
-
A.
hasCurrentEconomicBase
chosen
Indicates that an entity presently relies on a specified economic sector, activity, or resource as the primary foundation of its economy.
-
B.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
C.
hasEconomyCharacteristic
Indicates that an economy possesses a particular attribute, feature, or quality.
-
D.
hasEconomicFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
-
E.
hasEconomyRankContext
Indicates the contextual basis or framework within which an entity’s economy rank is defined, interpreted, or compared.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128881af481909b28cda2d343f4e3 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.