Triple
T23296376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Málaga María Zambrano railway station |
E590181
|
entity |
| Predicate | partOfNetwork |
P840
|
FINISHED |
| Object | AVE network |
—
|
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: AVE network | Statement: [Málaga María Zambrano railway station, partOfNetwork, AVE network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVE network Context triple: [Málaga María Zambrano railway station, partOfNetwork, AVE network]
-
A.
AVE network
chosen
The AVE network is Spain’s high-speed rail system that connects major cities across the country with fast, long-distance train services.
-
B.
TRA network
The TRA network is Taiwan’s conventional intercity and regional railway system operated by the Taiwan Railways Administration, connecting major cities and rural areas around the island.
-
C.
AVPN
AVPN is an international non-profit organization that promotes and certifies authentic Neapolitan pizza according to traditional standards and techniques.
-
D.
Canvas Network
Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
-
E.
ANET
ANET is the stock ticker symbol for Arista Networks, a leading provider of cloud networking solutions for large data centers and computing environments.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cfc79081909966638cec48cf60 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.