Triple
T34353355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Neuchâtel |
E881644
|
entity |
| Predicate | associatedWithModernCanton |
P44646
|
FINISHED |
| Object | Canton of Neuchâtel |
E258406
|
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: Canton of Neuchâtel | Statement: [Princess of Neuchâtel, associatedWithModernCanton, Canton of Neuchâtel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithModernCanton Context triple: [Princess of Neuchâtel, associatedWithModernCanton, Canton of Neuchâtel]
-
A.
associatedWithModernTown
chosen
Indicates that something has a defined connection or linkage to a present-day town or municipality.
-
B.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
C.
usesCanton
Indicates that one entity employs or applies a specific canton (administrative region or heraldic area) in its structure, context, or operations.
-
D.
includesCanton
Indicates that a larger administrative or geographic entity contains or encompasses a specific canton within its boundaries.
-
E.
associatedWithModernization
Indicates a relationship in which an entity is connected to, involved in, or influenced by processes, policies, or efforts of modernization.
- F. None of above.
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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a385bb4813c819083d35f3c6c893e60 |
completed | June 21, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.