Triple
T10687506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Austronesian languages |
E251916
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Alangan
Alangan is an Austronesian language spoken by the Alangan Mangyan people on the island of Mindoro in the Philippines.
|
E879100
|
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: Alangan | Statement: [Philippine Austronesian languages, hasMember, Alangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alangan Context triple: [Philippine Austronesian languages, hasMember, Alangan]
-
A.
Alang
Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
-
B.
Alukuyana
Alukuyana is an alternative name for the Wayana language, an indigenous Cariban language spoken in parts of Brazil, Suriname, and French Guiana.
-
C.
Alagwa
Alagwa is a Cushitic language spoken by the Alagwa people of north-central Tanzania.
-
D.
Alange
Alange is a Spanish municipality in the province of Badajoz, Extremadura, known for its historic Roman thermal baths and reservoir.
-
E.
Angangueo
Angangueo is a historic mining town in central Mexico best known as a gateway to the Monarch Butterfly Biosphere Reserve.
- 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: Alangan Triple: [Philippine Austronesian languages, hasMember, Alangan]
Generated description
Alangan is an Austronesian language spoken by the Alangan Mangyan people on the island of Mindoro in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alangan Target entity description: Alangan is an Austronesian language spoken by the Alangan Mangyan people on the island of Mindoro in the Philippines.
-
A.
Alang
Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
-
B.
Alukuyana
Alukuyana is an alternative name for the Wayana language, an indigenous Cariban language spoken in parts of Brazil, Suriname, and French Guiana.
-
C.
Alagwa
Alagwa is a Cushitic language spoken by the Alagwa people of north-central Tanzania.
-
D.
Alange
Alange is a Spanish municipality in the province of Badajoz, Extremadura, known for its historic Roman thermal baths and reservoir.
-
E.
Angangueo
Angangueo is a historic mining town in central Mexico best known as a gateway to the Monarch Butterfly Biosphere Reserve.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9889d1f988190938be54771161b00 |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.