Triple
T5815250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon District |
E128968
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Alenquer |
E374177
|
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: Alenquer | Statement: [Lisbon District, contains, Alenquer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alenquer Context triple: [Lisbon District, contains, Alenquer]
-
A.
Alenquer
chosen
Alenquer is a historic Portuguese town and municipality in the Lisbon District, known for its wine production and scenic location along the banks of the River Alcabrichel.
-
B.
Sabugal
Sabugal is a historic municipality and town in central Portugal, known for its medieval castle and scenic location near the Spanish border.
-
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.
Bragança
Bragança is a historic city in northeastern Portugal known for its well-preserved medieval castle and role as the former seat of the House of Braganza.
-
E.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0336344148190bcf417c0b9617cb9 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.