Triple
T15705329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Order of Aviz |
E380693
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Aviz |
E413181
|
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: Aviz | Statement: [Military Order of Aviz, namedAfter, Aviz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aviz Context triple: [Military Order of Aviz, namedAfter, Aviz]
-
A.
Aviz
chosen
Aviz is a historic town in Portugal known for giving its name to the Portuguese royal House of Aviz.
-
B.
Azaire
Azaire is a French surname notably associated with the character Isabelle Azaire from Sebastian Faulks’s novel "Birdsong."
-
C.
Aglovale
Aglovale is a character in Maurice Maeterlinck’s symbolist play "La Mort de Tintagiles," typically portrayed as a loyal and protective figure within the tragic, dreamlike narrative.
-
D.
Avelar
Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
-
E.
Ozar
Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6fc3608190a85b25755f5345db |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.