Triple
T6395574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-3 |
E143931
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | C-3 |
E143931
|
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: C-3 | Statement: [C-3, abbreviation, C-3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C-3 Context triple: [C-3, abbreviation, C-3]
-
A.
C-3
chosen
C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
-
B.
C-32A
The C-32A is a U.S. Air Force VIP transport aircraft, based on the Boeing 757, commonly used to carry the U.S. vice president and other senior government officials.
-
C.
C-2
C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
-
D.
C-3a
C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
-
E.
C-32B
The C-32B is a specialized U.S. Air Force transport aircraft used primarily for clandestine and special operations support, including rapid deployment of personnel in crisis situations.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0688275d0819086b58123c743a6db |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63897a5408190b6aada0e5c67fe27 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.