Triple
T3199644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine languages |
E67018
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Agutaynen
Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
|
E336298
|
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: Agutaynen | Statement: [Philippine languages, includesLanguage, Agutaynen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agutaynen Context triple: [Philippine languages, includesLanguage, Agutaynen]
-
A.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
B.
Getaria
Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
-
C.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
-
D.
Gabrielino
Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
-
E.
Anuta
Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
- 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: Agutaynen Triple: [Philippine languages, includesLanguage, Agutaynen]
Generated description
Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agutaynen Target entity description: Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
-
A.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
B.
Getaria
Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
-
C.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
-
D.
Gabrielino
Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
-
E.
Anuta
Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bbdc9908190b5d8328f6fbc6002 |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b25034bc4481909c860099cc1aa311 |
completed | March 12, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b251458ab48190a374f910103763f2 |
completed | March 12, 2026, 5:38 a.m. |
Created at: March 8, 2026, 3:07 p.m.