Triple
T2642330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunes railway station |
E62898
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tunes |
E10470
|
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: Tunes | Statement: [Tunes railway station, locatedIn, Tunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunes Context triple: [Tunes railway station, locatedIn, Tunes]
-
A.
Tunes
chosen
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
B.
Option Musique
Option Musique is a Swiss radio station operated by Radio Télévision Suisse that focuses on popular music programming.
-
C.
In Tune
In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
-
D.
Music Library
The Music Library is a specialized branch of the Stanford University Libraries that collects, preserves, and provides access to music scores, recordings, and scholarly resources in music and related fields.
-
E.
Music
Music is the stylized logo-based shorthand for Apple Music, Apple’s subscription music and audio streaming service.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bfd4008190a30675ebaf01e483 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.