Triple
T1781598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mainland Portugal |
E39301
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Évora |
E205552
|
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: Évora | Statement: [mainland Portugal, containsCity, Évora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Évora Context triple: [mainland Portugal, containsCity, Évora]
-
A.
Évora
chosen
Évora is a historic Portuguese city renowned for its well-preserved medieval center, Roman Temple, and status as a UNESCO World Heritage Site.
-
B.
Coimbra
Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
-
C.
Setúbal
Setúbal is a coastal city in southern Portugal known for its fishing industry, nearby Arrábida Natural Park, and views over the Sado Estuary.
-
D.
Sintra
Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
-
E.
Braga
Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e34fe881908aa75f2b4141b87b |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58af914c8190a27a834e3097bec7 |
completed | March 9, 2026, 5:20 a.m. |
Created at: March 4, 2026, 7:31 p.m.