Triple
T5756105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frant railway station |
E126971
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Frant |
E541437
|
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: Frant | Statement: [Frant railway station, serves, Frant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frant Context triple: [Frant railway station, serves, Frant]
-
A.
Frant
chosen
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
-
B.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
C.
Franci
Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
-
D.
Frans
Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
-
E.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e47c1788190b5883df385475237 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:49 p.m.