Triple
T11168206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myene |
E264207
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object |
Gisir
Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
|
E908753
|
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: Gisir | Statement: [Myene, neighboringLanguage, Gisir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gisir Context triple: [Myene, neighboringLanguage, Gisir]
-
A.
Kawa
Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
-
B.
Kawa
Kawa is an indigenous subgroup of the Waic people, known for its distinct cultural and linguistic identity within this broader ethnic group.
-
C.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Tirta Gangga
Tirta Gangga is a former royal water palace in eastern Bali, Indonesia, renowned for its tiered fountains, stone carvings, and tranquil pools set amid lush gardens.
-
E.
Dumna
Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
- 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: Gisir Triple: [Myene, neighboringLanguage, Gisir]
Generated description
Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gisir Target entity description: Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
-
A.
Kawa
Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
-
B.
Kawa
Kawa is an indigenous subgroup of the Waic people, known for its distinct cultural and linguistic identity within this broader ethnic group.
-
C.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Tirta Gangga
Tirta Gangga is a former royal water palace in eastern Bali, Indonesia, renowned for its tiered fountains, stone carvings, and tranquil pools set amid lush gardens.
-
E.
Dumna
Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463945e40819087c6bdbc322a6d54 |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.