Triple
T24582921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vennes depot |
E608299
|
entity |
| Predicate | locatedInCountryCapitalOfCanton |
P156441
|
FINISHED |
| Object | Lausanne |
—
|
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: Lausanne | Statement: [Vennes depot, locatedInCountryCapitalOfCanton, Lausanne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCountryCapitalOfCanton Context triple: [Vennes depot, locatedInCountryCapitalOfCanton, Lausanne]
-
A.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
B.
operatesInCanton
Indicates that an entity conducts its activities or has operational presence within a specified canton.
-
C.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
D.
capitalCityOfLargestCanton
Indicates the city that serves as the capital of the geographically largest canton within a given country or region.
-
E.
locatedInCountryCapitalOfProvince
Indicates that an entity is located in the country that contains the capital city of a specified province.
- F. None of above. chosen
Provenance (4 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a983a4408190acdf29ccd52be9d4 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.