Triple
T637378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uto-Aztecan |
E16654
|
entity |
| Predicate | hasSubfamily |
P747
|
FINISHED |
| Object |
Corachol
Corachol is a subfamily of Uto-Aztecan languages that includes closely related indigenous languages spoken in western Mexico.
|
E79963
|
NE FINISHED |
How this triple was built (4 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: Corachol | Statement: [Uto-Aztecan, hasSubfamily, Corachol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corachol Context triple: [Uto-Aztecan, hasSubfamily, Corachol]
-
A.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
B.
Bougros
Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
C.
Pregny-Chambésy
Pregny-Chambésy is a small, affluent municipality on the shores of Lake Geneva in the canton of Geneva, Switzerland, known for hosting several international organizations and diplomatic missions.
-
D.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
E.
Malate
Malate is a historic coastal district of Manila, Philippines, known for its nightlife, cultural landmarks, and proximity to Manila Bay.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Corachol Triple: [Uto-Aztecan, hasSubfamily, Corachol]
Generated description
Corachol is a subfamily of Uto-Aztecan languages that includes closely related indigenous languages spoken in western Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corachol Target entity description: Corachol is a subfamily of Uto-Aztecan languages that includes closely related indigenous languages spoken in western Mexico.
-
A.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
B.
Bougros
Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
C.
Pregny-Chambésy
Pregny-Chambésy is a small, affluent municipality on the shores of Lake Geneva in the canton of Geneva, Switzerland, known for hosting several international organizations and diplomatic missions.
-
D.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
E.
Malate
Malate is a historic coastal district of Manila, Philippines, known for its nightlife, cultural landmarks, and proximity to Manila Bay.
- F. None of above. chosen
Provenance (5 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee7fdbc8190858e42bb1bfdb3ff |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57405d6f48190b55542d50d3a1f22 |
completed | March 2, 2026, 11:27 a.m. |
| NEDg | Description generation | batch_69a574b91b2c8190a09d837f2462c1b3 |
completed | March 2, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5751b2e3081908c4cc5d54fa78e9d |
completed | March 2, 2026, 11:31 a.m. |
Created at: March 1, 2026, 7:35 p.m.