Triple
T15057788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club de Deportes Coquimbo Unido |
E379540
|
entity |
| Predicate | traditionalPresenceIn |
P117159
|
FINISHED |
| Object | top divisions of Chilean football |
—
|
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: top divisions of Chilean football | Statement: [Club de Deportes Coquimbo Unido, traditionalPresenceIn, top divisions of Chilean football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalPresenceIn Context triple: [Club de Deportes Coquimbo Unido, traditionalPresenceIn, top divisions of Chilean football]
-
A.
modernPresence
Indicates that something exists, appears, or is active in the contemporary or present-day context.
-
B.
typeOfPresence
Indicates the manner or mode in which an entity is present or exists in relation to another entity, context, or environment.
-
C.
earlyPresence
Indicates that one entity is present or arrives earlier than another reference point, event, or entity.
-
D.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
E.
statePresence
Indicates that an entity exists, operates, or is present within a particular state or governmental jurisdiction.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:01 a.m.