Triple
T4720032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aklanon |
E104740
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Inakeanon
Inakeanon is an Austronesian language spoken by the Aklanon people of Aklan province in the Philippines.
|
E463045
|
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: Inakeanon | Statement: [Aklanon, hasAlternativeName, Inakeanon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inakeanon Context triple: [Aklanon, hasAlternativeName, Inakeanon]
-
A.
Akanānūru
Akanānūru is a classical Tamil anthology of 400 love poems from the Sangam period, renowned for its rich portrayal of interior (akam) themes such as love, separation, and emotional life.
-
B.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Nikunau
Nikunau is a remote coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional I-Kiribati culture and subsistence lifestyle.
-
D.
Awankari
Awankari is a lesser-known Northwestern Indo-Aryan language variety traditionally spoken in parts of northern Pakistan.
-
E.
Hikianalia
Hikianalia is a modern Polynesian voyaging canoe that combines traditional navigation with contemporary technology for educational and cultural expeditions across the Pacific.
- 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: Inakeanon Triple: [Aklanon, hasAlternativeName, Inakeanon]
Generated description
Inakeanon is an Austronesian language spoken by the Aklanon people of Aklan province in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inakeanon Target entity description: Inakeanon is an Austronesian language spoken by the Aklanon people of Aklan province in the Philippines.
-
A.
Akanānūru
Akanānūru is a classical Tamil anthology of 400 love poems from the Sangam period, renowned for its rich portrayal of interior (akam) themes such as love, separation, and emotional life.
-
B.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Nikunau
Nikunau is a remote coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional I-Kiribati culture and subsistence lifestyle.
-
D.
Awankari
Awankari is a lesser-known Northwestern Indo-Aryan language variety traditionally spoken in parts of northern Pakistan.
-
E.
Hikianalia
Hikianalia is a modern Polynesian voyaging canoe that combines traditional navigation with contemporary technology for educational and cultural expeditions across the Pacific.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6428e9e081908ce4041183cad13b |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108fe3b08190b3d306ca4b39860d |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1182fee48190a01bd167a4adb21b |
completed | March 21, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be11e0922481909563dca0422f10d1 |
completed | March 21, 2026, 3:34 a.m. |
Created at: March 20, 2026, 1:18 p.m.