Triple
T6545787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arroyo Naranjo |
E151003
|
entity |
| Predicate | hasTopLevelDomainCountry |
P11776
|
FINISHED |
| Object | .cu |
—
|
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: .cu | Statement: [Arroyo Naranjo, hasTopLevelDomainCountry, .cu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopLevelDomainCountry Context triple: [Arroyo Naranjo, hasTopLevelDomainCountry, .cu]
-
A.
hasTopLevelDomain
Indicates that one entity (typically a website, domain name, or internet resource) is associated with a specific top-level domain (such as .com, .org, or .uk).
-
B.
countryCodeTopLevelDomain
chosen
Indicates that a country is associated with a specific top-level internet domain code (ccTLD).
-
C.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
D.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
E.
hasPrimaryCountryCode
Indicates that an entity is associated with its main or officially designated country code.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.