Triple
T17810651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV PSE |
E444692
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | MTE |
—
|
NE NERFINISHED |
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: MTE | Statement: [TGV PSE, manufacturer, MTE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTE Context triple: [TGV PSE, manufacturer, MTE]
-
A.
MTE
chosen
MTE is a French company known for manufacturing the BB 7200 class of electric locomotives for the French railways.
-
B.
MeTC
MeTC is the standard abbreviation for the Metropolitan Trial Courts, which are first-level courts in the Philippines that handle minor civil and criminal cases within metropolitan areas.
-
C.
MTI
MTI is a research and education institute focused on improving surface transportation policy, management, and safety, based at San José State University.
-
D.
ETE
ETE is the stock ticker symbol for the National Bank of Greece, one of Greece’s largest and oldest financial institutions.
-
E.
NMT
NMT is a science and engineering-focused public research university located in Socorro, New Mexico, known for its strong programs in mining, engineering, and the physical sciences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887a50488190b9c148146ec607e6 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.