Triple
T16468546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condeixa-a-Nova |
E399998
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Conímbriga |
E1215389
|
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: Conímbriga | Statement: [Condeixa-a-Nova, hasSettlement, Conímbriga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conímbriga Context triple: [Condeixa-a-Nova, hasSettlement, Conímbriga]
-
A.
Conímbriga
chosen
Conímbriga is one of the best-preserved Roman archaeological sites in Portugal, renowned for its extensive ruins and intricate mosaic floors.
-
B.
Miróbriga
Miróbriga is an ancient Roman archaeological site in Portugal, known for its well-preserved ruins including baths, a forum, and a hippodrome.
-
C.
Monção
Monção is a historic town and municipality in northern Portugal, known for its fortified medieval center and production of Vinho Verde wines along the Minho River.
-
D.
Alcácer do Sal
Alcácer do Sal is a historic riverside town in Portugal’s Alentejo region, known for its medieval castle and long-standing connection to salt production.
-
E.
Leiria
Leiria is a historic city in central Portugal known for its medieval hilltop castle and role as a regional administrative and cultural center.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581a11e881908681f68c26ee6a05 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:11 a.m.