Triple
T4322513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penutian phylum |
E96550
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Maiduan |
E432296
|
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: Maiduan | Statement: [Penutian phylum, hasSubgroup, Maiduan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maiduan Context triple: [Penutian phylum, hasSubgroup, Maiduan]
-
A.
Maiduan
chosen
Maiduan is a small family of Native American languages historically spoken in northeastern California by the Maidu people.
-
B.
Badajoz
Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
-
C.
Burgos
Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
-
D.
Sagunto
Sagunto is a historic coastal town in eastern Spain renowned for its ancient Roman theatre and hilltop castle overlooking the Mediterranean.
-
E.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db950f5c8190ba67d8e2f8da50dc |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:12 p.m.