Triple
T7382864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelis van der Lijn |
E170304
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | VOC |
E3954
|
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: VOC | Statement: [Cornelis van der Lijn, employer, VOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOC Context triple: [Cornelis van der Lijn, employer, VOC]
-
A.
VOC
chosen
VOC is the abbreviation for the Dutch East India Company, a powerful 17th-century trading corporation that dominated European-Asian maritime trade and helped shape early global capitalism.
-
B.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
C.
VVO
VVO is the three-letter IATA airport code for Vladivostok International Airport in Russia.
-
D.
VAPO
VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
-
E.
voco
voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c9a3c48190972126c19aa31dca |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802dee7448190be1835bd822b9180 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.