Triple
T10490132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amdang language |
E247394
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Mima
Mima is an alternative name for the Amdang language, a Nilo-Saharan language spoken primarily in parts of Chad and Sudan.
|
E867502
|
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: Mima | Statement: [Amdang language, hasAlternativeName, Mima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mima Context triple: [Amdang language, hasAlternativeName, Mima]
-
A.
Mima
Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
-
B.
Rumueme
Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
C.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
D.
Oxlumo
Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
-
E.
Nomlaki
Nomlaki are a Native American people of Northern California, traditionally part of the Wintun group and known for their distinct language and cultural practices.
- 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: Mima Triple: [Amdang language, hasAlternativeName, Mima]
Generated description
Mima is an alternative name for the Amdang language, a Nilo-Saharan language spoken primarily in parts of Chad and Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mima Target entity description: Mima is an alternative name for the Amdang language, a Nilo-Saharan language spoken primarily in parts of Chad and Sudan.
-
A.
Mima
Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
-
B.
Rumueme
Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
C.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
D.
Oxlumo
Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
-
E.
Nomlaki
Nomlaki are a Native American people of Northern California, traditionally part of the Wintun group and known for their distinct language and cultural practices.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:23 p.m.