Triple
T16983538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcobaça |
E412002
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Batalha |
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 | Statement: [Alcobaça, locatedNear, Batalha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batalha Context triple: [Alcobaça, locatedNear, Batalha]
-
A.
Batalha
chosen
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
B.
Batalden
Batalden is a small island in Vestland county, Norway, known for its coastal scenery and traditional fishing community.
-
C.
Bataille
Bataille is a French surname most famously associated with Georges Bataille, the influential 20th-century writer and philosopher known for his work on eroticism, transgression, and the sacred.
-
D.
Bitwa
"Bitwa" is a notable painting by 19th-century Polish Romantic artist Artur Grottger, known for its dramatic depiction of historical and patriotic themes.
-
E.
Kampen
Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d188ede48190baead48aac84c78d |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0f13c88190b55da5be40a0a476 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.