Triple
T21213394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Maior |
E522774
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Asseiceira |
E1239411
|
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: Asseiceira | Statement: [Rio Maior, hasParish, Asseiceira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asseiceira Context triple: [Rio Maior, hasParish, Asseiceira]
-
A.
Asseiceira
chosen
Asseiceira is a locality in Portugal historically notable as the site of the decisive Battle of Asseiceira during the Liberal Wars.
-
B.
Sorraia
Sorraia is a river in central Portugal that flows through the Ribatejo region before joining the Tagus River.
-
C.
Baralaba
Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
-
D.
Bardala
Bardala is a Palestinian village located in the Tubas Governorate in the northeastern West Bank.
-
E.
Duesaigües
Duesaigües is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its scenic mountainous surroundings and rural character.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347088488190aa764b3f4bbac44d |
completed | April 21, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ed6e6288190a6c0a10338458117 |
completed | May 17, 2026, 8:39 a.m. |
Created at: April 16, 2026, 3:38 p.m.