Triple
T17543685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chumashan languages |
E427268
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Obispeño
Obispeño is an extinct Chumashan language formerly spoken by the Chumash people in the San Luis Obispo area of California.
|
E1275087
|
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: Obispeño | Statement: [Chumashan languages, hasLanguage, Obispeño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obispeño Context triple: [Chumashan languages, hasLanguage, Obispeño]
-
A.
Juaneño
Juaneño is a dialect of the Luiseño language historically spoken by Indigenous people associated with Mission San Juan Capistrano in Southern California.
-
B.
San Benito
San Benito is a small coastal town on Siargao Island in the Philippines, known for its laid-back atmosphere, fishing communities, and access to surfing and island-hopping spots.
-
C.
San Benito
San Benito is a city in Cameron County, Texas, known for its rich South Texas cultural heritage and proximity to the U.S.–Mexico border.
-
D.
San Benito
San Benito is a town in Guatemala’s Petén Department, located near the city of Flores and known as part of the main urban area on the shores of Lake Petén Itzá.
-
E.
Barrazas
Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
- 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: Obispeño Triple: [Chumashan languages, hasLanguage, Obispeño]
Generated description
Obispeño is an extinct Chumashan language formerly spoken by the Chumash people in the San Luis Obispo area of California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obispeño Target entity description: Obispeño is an extinct Chumashan language formerly spoken by the Chumash people in the San Luis Obispo area of California.
-
A.
Juaneño
Juaneño is a dialect of the Luiseño language historically spoken by Indigenous people associated with Mission San Juan Capistrano in Southern California.
-
B.
San Benito
San Benito is a small coastal town on Siargao Island in the Philippines, known for its laid-back atmosphere, fishing communities, and access to surfing and island-hopping spots.
-
C.
San Benito
San Benito is a city in Cameron County, Texas, known for its rich South Texas cultural heritage and proximity to the U.S.–Mexico border.
-
D.
San Benito
San Benito is a town in Guatemala’s Petén Department, located near the city of Flores and known as part of the main urban area on the shores of Lake Petén Itzá.
-
E.
Barrazas
Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545fe29c8190a586c75419fa14ea |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28b45c88190b16b9437920f0e5d |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d43430d481909b07d8ecc09a185f |
completed | May 11, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4c609fc819089147744317d4be3 |
completed | May 11, 2026, 1:08 p.m. |
Created at: April 10, 2026, 5:49 a.m.