Triple
T15528026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish railway network |
E369132
|
entity |
| Predicate | hasSignallingSystem |
P19148
|
FINISHED |
| Object | ASFA |
E582705
|
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: ASFA | Statement: [Spanish railway network, hasSignallingSystem, ASFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASFA Context triple: [Spanish railway network, hasSignallingSystem, ASFA]
-
A.
ASFA
chosen
ASFA is a Spanish railway automatic train protection system designed to monitor and control train speeds to enhance operational safety.
-
B.
ASFA-Y
ASFA-Y is an educational institution named after Princess Yennenga, often associated with secondary or technical schooling in Burkina Faso.
-
C.
AFSA
AFSA was a U.S. military signals intelligence and cryptologic organization that served as a predecessor to the National Security Agency (NSA).
-
D.
AFAS
AFAS is a regional agreement among ASEAN member states aimed at progressively liberalizing trade in services to enhance economic integration and competitiveness in Southeast Asia.
-
E.
ASA
ASA is the commonly used abbreviation for the Academy of Sciences of Albania, the country’s leading scientific research and advisory institution.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d598e6c8190870e9249197f5f53 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.