Triple
T22295651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercanías Madrid Line C-4 |
E551111
|
entity |
| Predicate | symbol |
P129
|
FINISHED |
| Object | C-4 |
—
|
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: C-4 | Statement: [Cercanías Madrid Line C-4, symbol, C-4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C-4 Context triple: [Cercanías Madrid Line C-4, symbol, C-4]
-
A.
C-4
chosen
C-4 is a major commuter rail line in the Cercanías Madrid network that connects central Madrid with several key suburbs and outlying towns.
-
B.
C-4
C-4 is a major circumferential arterial road in Metro Manila, Philippines, forming part of the region’s primary urban ring road network.
-
C.
C-4
C-4 is a line of the Seville commuter rail network that provides regional passenger train service connecting Seville with its surrounding metropolitan areas.
-
D.
C-4 Academe
C-4 Academe is the United States military variant of the Grumman Gulfstream I turboprop aircraft used primarily for training and transport roles.
-
E.
C-4E Market
C-4E Market is a popular local shopping and commercial hub located in the Janakpuri area of West Delhi, India.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1571fe76c8190a40b3679802a5475 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.