Triple
T21556492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid Chamartín railway station |
E531904
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | ESMCH |
—
|
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: ESMCH | Statement: [Madrid Chamartín railway station, hasStationCode, ESMCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESMCH Context triple: [Madrid Chamartín railway station, hasStationCode, ESMCH]
-
A.
ESMCH
chosen
ESMCH is the station code used to identify Madrid Chamartín, one of the main railway stations in Madrid, Spain.
-
B.
ESM
ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
-
C.
ESM
ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
-
D.
EC-M
EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
-
E.
EMES
EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.