Triple
T7202140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonesse |
E168772
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Alcobaça (Portugal) |
E412002
|
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: Alcobaça (Portugal) | Statement: [Gonesse, hasTwinTown, Alcobaça (Portugal)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcobaça (Portugal) Context triple: [Gonesse, hasTwinTown, Alcobaça (Portugal)]
-
A.
Alcobaça
chosen
Alcobaça is a historic Portuguese city best known for its UNESCO-listed Cistercian monastery, one of the country’s most important medieval monuments.
-
B.
Queluz, Portugal
Queluz, Portugal is a historic town near Lisbon best known for its 18th-century royal palace, a former residence of the Portuguese royal family.
-
C.
Leiria
Leiria is a historic city in central Portugal known for its medieval hilltop castle and role as a regional administrative and cultural center.
-
D.
Lousã
Lousã is a town and municipality in central Portugal known for its surrounding mountains, schist villages, and outdoor activities such as hiking and mountain biking.
-
E.
Caldas da Rainha
Caldas da Rainha is a historic spa and market city in western Portugal, renowned for its thermal baths, ceramics tradition, and proximity to the Atlantic coast.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94a9ee4819086de79fcdfa1836a |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb0f4688190a677b818a0b3619c |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:52 p.m.