Triple
T20513381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CORPAC |
E503619
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CORPAC |
—
|
NE NERFINISHED |
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: CORPAC | Statement: [CORPAC, hasAbbreviation, CORPAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CORPAC Context triple: [CORPAC, hasAbbreviation, CORPAC]
-
A.
CORPAC
CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
-
B.
Nolcorp
Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
-
C.
Corpac S.A.
chosen
Corpac S.A. is a Peruvian state-owned company responsible for managing and operating airports and air navigation services in Peru.
-
D.
Conrac
Conrac was a company best known for manufacturing computer terminals and display systems, particularly for industrial and aviation applications.
-
E.
C.A.P.A.C.
C.A.P.A.C. is a film production company involved in creating and financing motion picture projects such as "Le Soupirant."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4066908190a94724697fb8cdcb |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.