Triple
T641057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Savoie |
E16739
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Ain |
E57120
|
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: Ain | Statement: [Haute-Savoie, borders, Ain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ain Context triple: [Haute-Savoie, borders, Ain]
-
A.
Ain
chosen
Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
-
B.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
C.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
D.
Aimaqs
The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
-
E.
Harauti
Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f0189b08190a584b744f36fa761 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67eeff434819090fb550b6bf07d86 |
completed | March 3, 2026, 6:25 a.m. |
Created at: March 1, 2026, 7:36 p.m.