Triple
T17103599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acción Democrática |
E415040
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
COPPPAL
COPPPAL is a regional organization that brings together political parties from Latin America and the Caribbean to promote democracy, cooperation, and political dialogue.
|
E1250447
|
NE FINISHED |
How this triple was built (4 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: COPPPAL | Statement: [Acción Democrática, memberOf, COPPPAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COPPPAL Context triple: [Acción Democrática, memberOf, COPPPAL]
-
A.
COPLAC
COPLAC is a consortium of public liberal arts colleges in North America dedicated to advancing high-quality, student-centered undergraduate education in the liberal arts and sciences.
-
B.
Copp
Copp is a surname of English origin borne by various individuals and families.
-
C.
COPA
COPA is the airline callsign used by Copa Airlines, the flag carrier of Panama known for its extensive network across the Americas.
-
D.
COPA
COPA is an independent Chicago city agency responsible for investigating allegations of police misconduct and promoting police accountability.
-
E.
CORPAC
CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: COPPPAL Triple: [Acción Democrática, memberOf, COPPPAL]
Generated description
COPPPAL is a regional organization that brings together political parties from Latin America and the Caribbean to promote democracy, cooperation, and political dialogue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COPPPAL Target entity description: COPPPAL is a regional organization that brings together political parties from Latin America and the Caribbean to promote democracy, cooperation, and political dialogue.
-
A.
COPLAC
COPLAC is a consortium of public liberal arts colleges in North America dedicated to advancing high-quality, student-centered undergraduate education in the liberal arts and sciences.
-
B.
Copp
Copp is a surname of English origin borne by various individuals and families.
-
C.
COPA
COPA is the airline callsign used by Copa Airlines, the flag carrier of Panama known for its extensive network across the Americas.
-
D.
COPA
COPA is an independent Chicago city agency responsible for investigating allegations of police misconduct and promoting police accountability.
-
E.
CORPAC
CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
- F. None of above. chosen
Provenance (5 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2591a881909c5f4f7db47f4d6c |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ffbe808190a24e827331ee4a6c |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:35 a.m.