Triple
T21372300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geldern |
E527096
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Pontaumur |
—
|
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: Pontaumur | Statement: [Geldern, hasTwinTown, Pontaumur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontaumur Context triple: [Geldern, hasTwinTown, Pontaumur]
-
A.
Pontaumur
chosen
Pontaumur is a small commune in central France, known for its rural setting in the Puy-de-Dôme department of the Auvergne region.
-
B.
Ponta
Ponta is a Romanian surname most notably borne by Victor Ponta, a former Prime Minister of Romania.
-
C.
Ponta Baleia
Ponta Baleia is a small coastal settlement on the southern tip of São Tomé Island in São Tomé and Príncipe, known primarily as the mainland departure point for boats to Ilhéu das Rolas.
-
D.
La Punta
La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
-
E.
La Punta
La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b0d5ec81908da8f38380dbdc7a |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.