Triple
T16855723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asahi Glass Co., Ltd. |
E409776
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
AGC
AGC is a leading Japanese manufacturer known worldwide for its glass, electronics, chemicals, and high-tech materials used in buildings, automobiles, and various industrial applications.
|
E1237573
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Asahi Glass Co., Ltd., brand, AGC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGC Context triple: [Asahi Glass Co., Ltd., brand, AGC]
-
A.
AGC
AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
-
B.
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.
-
C.
AGC
AGC is an international treaty that coordinates and standardizes the main railway lines across Europe to facilitate efficient cross-border rail transport.
-
D.
AGC
AGC is the three-letter IATA airport code assigned to Allegheny County Airport near Pittsburgh, Pennsylvania.
-
E.
AGC
AGC is the stock ticker symbol for Altimeter Growth Corp, a special purpose acquisition company (SPAC) associated with Altimeter Capital.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AGC Triple: [Asahi Glass Co., Ltd., brand, AGC]
Generated description
AGC is a leading Japanese manufacturer known worldwide for its glass, electronics, chemicals, and high-tech materials used in buildings, automobiles, and various industrial applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AGC Target entity description: AGC is a leading Japanese manufacturer known worldwide for its glass, electronics, chemicals, and high-tech materials used in buildings, automobiles, and various industrial applications.
-
A.
AGC
AGC is the stock ticker symbol for Altimeter Growth Corp, a special purpose acquisition company (SPAC) associated with Altimeter Capital.
-
B.
AGC
AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
-
C.
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.
-
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 the Indian Railways station code for Agra Cantonment railway station, the main rail hub serving the city of Agra in Uttar Pradesh, India.
- F. None of above. chosen
Provenance (5 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_6a00c2a6f2c48190874839f78f943fdb |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c3812c5881908e5c897a5b824e26 |
completed | May 10, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c3f62f3881909dc5665db8433063 |
completed | May 10, 2026, 5:44 p.m. |
Created at: April 10, 2026, 5:24 a.m.