Triple
T15212054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Anton Larsen |
E363538
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Compañía Argentina de Pesca |
E363542
|
NE 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: Compañía Argentina de Pesca | Statement: [Carl Anton Larsen, employer, Compañía Argentina de Pesca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Compañía Argentina de Pesca Context triple: [Carl Anton Larsen, employer, Compañía Argentina de Pesca]
-
A.
Compañía Argentina de Pesca
chosen
Compañía Argentina de Pesca was an early 20th-century whaling company that played a key role in establishing industrial whaling operations in the South Atlantic.
-
B.
San Martín Line
The San Martín Line is a commuter rail service in the Buenos Aires metropolitan area that links the city center with western suburbs.
-
C.
Aeromar
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
-
D.
SEA S.p.A.
SEA S.p.A. is the company that manages and operates Milan’s main airports, including Malpensa and Linate, providing airport infrastructure and related services.
-
E.
Aurizon
Aurizon is a major Australian rail freight company that operates extensive cargo services across key national routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed341cfb8819086b386c6cb905eda |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.