Triple
T3879344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batalha, Portugal |
E92581
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Batalha (town) |
E374154
|
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: Batalha (town) | Statement: [Batalha, Portugal, hasMunicipalSeat, Batalha (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batalha (town) Context triple: [Batalha, Portugal, hasMunicipalSeat, Batalha (town)]
-
A.
Batalha
chosen
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
B.
Batala
Batala is a historic industrial city in the Majha region of Punjab, India, known for its religious sites and metalworking industry.
-
C.
Battir
Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
-
D.
Bombarral
Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
-
E.
Dambatta
Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec7438808190b6c90fcb3000ebe9 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51253da2081908689f06975fb4db1 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.