Triple
T14340334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goes railway station |
E355581
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Goes |
E71950
|
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: Goes | Statement: [Goes railway station, locatedIn, Goes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goes Context triple: [Goes railway station, locatedIn, Goes]
-
A.
Goes
chosen
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
-
B.
Go!
"Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
-
C.
Go!
Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
-
D.
Gonet
Gonet is a surname most notably associated with Scottish actress Stella Gonet.
-
E.
Vanno
Vanno is a fictional character appearing in the story or universe associated with "Red Dog."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469bc538819099ed5b7061cf140d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.