Triple
T11828872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loving |
E281328
|
entity |
| Predicate | hasInternetCountryCode |
P92608
|
FINISHED |
| Object | .us |
—
|
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: .us | Statement: [Loving, hasInternetCountryCode, .us]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternetCountryCode Context triple: [Loving, hasInternetCountryCode, .us]
-
A.
isCountryCode
chosen
Indicates that one entity is a valid country code designating the country represented by the other entity.
-
B.
hasPrimaryCountryCode
Indicates that an entity is associated with its main or officially designated country code.
-
C.
hasNetworkUS
Indicates that an entity possesses, operates, or is associated with a network located in or serving the United States.
-
D.
hasAreaCodeCountry
Indicates that a particular telephone area code is associated with or belongs to a specific country.
-
E.
hasIslandDialingCode
Indicates that an island is associated with a particular telephone dialing code used for placing calls to it.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62b75dc8190b27d24e46a262a11 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.