Triple
T15570036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colégio de São Paulo (Coimbra) |
E374214
|
entity |
| Predicate | topLevelDomainOfLocation |
P11776
|
FINISHED |
| Object | .pt |
—
|
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: .pt | Statement: [Colégio de São Paulo (Coimbra), topLevelDomainOfLocation, .pt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topLevelDomainOfLocation Context triple: [Colégio de São Paulo (Coimbra), topLevelDomainOfLocation, .pt]
-
A.
countryCodeTopLevelDomain
chosen
Indicates that a country is associated with a specific top-level internet domain code (ccTLD).
-
B.
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).
-
C.
TLDType
Indicates the classification or category of a top-level domain (TLD) based on its intended purpose or administrative type.
-
D.
territorialDomain
Indicates that one entity has territorial authority, control, or jurisdiction over a geographic area or domain associated with another entity.
-
E.
capitalOfDomain
Indicates that a location serves as the capital city or administrative center of a given domain, such as a country, state, or region.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.