Triple
T1284626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meso-Melanesian languages |
E27405
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Simbo
Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
|
E146930
|
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: Simbo | Statement: [Meso-Melanesian languages, hasMemberLanguage, Simbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simbo Context triple: [Meso-Melanesian languages, hasMemberLanguage, Simbo]
-
A.
Shigmo
Shigmo is a spring harvest and Holi-related folk festival celebrated with vibrant processions, traditional dances, and music in Goa and the Konkan region of India.
-
B.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
C.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
D.
Cobi
Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- 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: Simbo Triple: [Meso-Melanesian languages, hasMemberLanguage, Simbo]
Generated description
Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simbo Target entity description: Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
-
A.
Shigmo
Shigmo is a spring harvest and Holi-related folk festival celebrated with vibrant processions, traditional dances, and music in Goa and the Konkan region of India.
-
B.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
C.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
D.
Cobi
Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b6dda48190a2e79084adea6ec1 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fdb3ac81909bc836e2a655130c |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca76c18d081908154d2a04c7a3328 |
completed | March 7, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca7d3c740819084c87134e5818455 |
completed | March 7, 2026, 10:33 p.m. |
Created at: March 1, 2026, 7:50 p.m.