Triple
T24631029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sporting Clube de Lourenço Marques |
E609673
|
entity |
| Predicate | associatedCountryAtTheTime |
P156832
|
FINISHED |
| Object | Portuguese Mozambique |
—
|
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: Portuguese Mozambique | Statement: [Sporting Clube de Lourenço Marques, associatedCountryAtTheTime, Portuguese Mozambique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryAtTheTime Context triple: [Sporting Clube de Lourenço Marques, associatedCountryAtTheTime, Portuguese Mozambique]
-
A.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
B.
associatedCountryMostProminently
Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
-
C.
associatedCountryViaNotableBearer
Indicates a relationship where an entity is linked to a country through a notable person who bears or represents that entity (such as a name, title, or work).
-
D.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
E.
registrationCountry
Indicates the country in which an entity is officially registered or incorporated.
- F. None of above. chosen
Provenance (4 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.