Triple
T10864494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attalens |
E256491
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Semsales |
E806450
|
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: Semsales | Statement: [Attalens, hasNeighboringMunicipality, Semsales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semsales Context triple: [Attalens, hasNeighboringMunicipality, Semsales]
-
A.
Semsales
chosen
Semsales is a Swiss municipality in the canton of Fribourg, situated in the Veveyse region of western Switzerland.
-
B.
Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
-
C.
SEMS
SEMS is the Spanish abbreviation for Mexico’s Subsecretariat of Upper Secondary Education, the federal body responsible for overseeing and coordinating high school–level education policies and institutions.
-
D.
SAL
SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
-
E.
SAL
SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516b2f148190adbacd35fc8c2056 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d5359c8190b46a6b817938eb67 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.