Triple
T22691134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Centroamericana |
E561052
|
entity |
| Predicate | typicalHostPattern |
P79811
|
FINISHED |
| Object | hosted in a single Central American country |
—
|
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: hosted in a single Central American country | Statement: [Copa Centroamericana, typicalHostPattern, hosted in a single Central American country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHostPattern Context triple: [Copa Centroamericana, typicalHostPattern, hosted in a single Central American country]
-
A.
typicalHostSelection
Indicates the usual or preferred choice of host entity that is selected in a given context or process.
-
B.
typicalHostRegion
chosen
Indicates the geographic region where a host is most commonly or characteristically found or associated.
-
C.
typicalServer
Indicates that an entity functions as a standard or representative example of a server within a given context or system.
-
D.
typicalDomain
Indicates that one entity is the characteristic or most common domain, context, or area of application in which another entity typically occurs or is used.
-
E.
typicalPort
Indicates that a specified port is commonly or normally used for a given service, protocol, or application.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.