Triple
T23135227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treuchtlingen |
E577295
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Ponsacco |
—
|
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: Ponsacco | Statement: [Treuchtlingen, hasTwinTown, Ponsacco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponsacco Context triple: [Treuchtlingen, hasTwinTown, Ponsacco]
-
A.
Ponsacco
chosen
Ponsacco is a small Tuscan town in central Italy known for its furniture industry and location within the Province of Pisa.
-
B.
Maumont
Maumont is a locality in France notable as the birthplace of Pope Gregory XI, the last Avignon pope.
-
C.
Montfuron
Montfuron is a small commune in southeastern France’s Alpes-de-Haute-Provence department, known for its picturesque Provençal landscape and traditional rural character.
-
D.
Titisee-Neustadt
Titisee-Neustadt is a popular resort town in Germany’s Black Forest region, known for its scenic lake Titisee, winter sports facilities, and tourism.
-
E.
Satara
Satara is a historic city in the Indian state of Maharashtra, known for its role as a key political and cultural center of the Maratha dynasty.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8b694c8190b9ead00ea0576d90 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.