Triple
T3827548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGV Sud Europe Atlantique |
E88725
|
entity |
| Predicate | signallingSystem |
P19148
|
FINISHED |
| Object | TVM |
E386838
|
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: TVM | Statement: [LGV Sud Europe Atlantique, signallingSystem, TVM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVM Context triple: [LGV Sud Europe Atlantique, signallingSystem, TVM]
-
A.
TVM-430
chosen
TVM-430 is a modern in-cab railway signaling and train protection system used on high-speed lines such as the French TGV network.
-
B.
BOM
BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
-
C.
Automat
"Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
-
D.
Coinstar
Coinstar is a company best known for its self-service coin-counting kiosks commonly found in supermarkets and retail stores.
-
E.
AFC (Automatic Fare Collection)
AFC (Automatic Fare Collection) is an automated system used in public transportation networks to manage fare payment, ticketing, and access control through contactless cards, smart tokens, and electronic validation equipment.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb66c0bc819084d9a9fe32e8433a |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb51e6248190b242f9e498a320d3 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.