Triple
T4465475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .tv |
E98366
|
entity |
| Predicate | revenueImportanceToTuvalu |
P41270
|
FINISHED |
| Object | significant |
—
|
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: significant | Statement: [.tv, revenueImportanceToTuvalu, significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revenueImportanceToTuvalu Context triple: [.tv, revenueImportanceToTuvalu, significant]
-
A.
revenueImportanceForAirlines
Indicates how important a given source, activity, or factor is in generating revenue for airlines.
-
B.
tourismImportance
Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
-
C.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
D.
revenueUse
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
-
E.
relativeImportanceInCountry
chosen
Indicates the comparative significance or priority of something within the context of a specific country.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356991a588190be2f95fd957d7f99 |
completed | March 13, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.