Triple
T16951091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quichean–Mamean |
E411180
|
entity |
| Predicate | hasSubbranch |
P1185
|
FINISHED |
| Object | Quichean |
E411180
|
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: Quichean | Statement: [Quichean–Mamean, hasSubbranch, Quichean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quichean Context triple: [Quichean–Mamean, hasSubbranch, Quichean]
-
A.
Quichean–Mamean
chosen
Quichean–Mamean is a branch of the Mayan language family that includes several closely related indigenous languages spoken in the highlands of Guatemala.
-
B.
Quenu
Quenu is a French surname most notably associated with Pauline Quenu.
-
C.
Dinan
Dinan is a historic fortified town in Brittany, northwestern France, renowned for its medieval architecture and scenic position overlooking the River Rance.
-
D.
Cremin
Cremin is a surname most notably associated with Lawrence A. Cremin, an influential American educational historian and Pulitzer Prize–winning author.
-
E.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.