Triple
T1284637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meso-Melanesian languages |
E27405
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
|
E146329
|
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: Baeggu | Statement: [Meso-Melanesian languages, hasMemberLanguage, Baeggu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baeggu Context triple: [Meso-Melanesian languages, hasMemberLanguage, Baeggu]
-
A.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
-
B.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
C.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
D.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
E.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
- 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: Baeggu Triple: [Meso-Melanesian languages, hasMemberLanguage, Baeggu]
Generated description
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baeggu Target entity description: Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
A.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
-
B.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
C.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
D.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
E.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
- 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_69aca3004b648190a4148b0421699bf9 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3a539848190a17e8bd578bc237a |
completed | March 7, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca4158bbc8190bd1f5799715e3e4c |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:50 p.m.