Triple
T16855722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asahi Glass Co., Ltd. |
E409776
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | AGC Inc. |
E1132884
|
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: AGC Inc. | Statement: [Asahi Glass Co., Ltd., hasSubsidiary, AGC Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGC Inc. Context triple: [Asahi Glass Co., Ltd., hasSubsidiary, AGC Inc.]
-
A.
AGC Inc.
chosen
AGC Inc. is a Japanese glass and chemical manufacturer known for producing advanced materials such as the durable Dragontrail Glass used in electronic devices.
-
B.
AGC
AGC is the abbreviation for the Adjutant General's Corps, a branch of the British Army responsible for personnel administration, career management, and support services.
-
C.
AGC
AGC is the Indian Railways station code for Agra Cantonment railway station, the main rail hub serving the city of Agra in Uttar Pradesh, India.
-
D.
AGC
AGC is an international treaty that coordinates and standardizes the main railway lines across Europe to facilitate efficient cross-border rail transport.
-
E.
AGC
AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37d69a08190af18b421066f44f1 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb2337348190ae79dc4b188c94cf |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.