Triple
T21182183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRU |
E521977
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | CORPAC S.A. |
—
|
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 S.A. | Statement: [TRU, operator, CORPAC S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CORPAC S.A. Context triple: [TRU, operator, CORPAC S.A.]
-
A.
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.
-
B.
CORPAC
CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
-
C.
Cruzcampo S.A.
Cruzcampo S.A. is a historic Spanish beer brand and brewery, originally founded in Seville and now part of the Heineken group.
-
D.
Patria Group
Patria Group is a Finnish defense, security, and aviation technology company known for developing and manufacturing military vehicles, systems, and related services.
-
E.
Habaguanex S.A.
Habaguanex S.A. is a Cuban state-run tourism and hospitality company that operates hotels, restaurants, and shops, particularly in Old Havana.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:04 p.m.