Triple

T11168195
Position Surface form Disambiguated ID Type / Status
Subject Myene E264207 entity
Predicate hasDialect P4251 FINISHED
Object Galwa
Galwa is a dialect of the Myene language spoken by communities in Gabon.
 E908749 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: Galwa | Statement: [Myene, hasDialect, Galwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galwa
Context triple: [Myene, hasDialect, Galwa]
  • A. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • B. Tathra
    Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
  • C. Ruma
    Ruma is a central character in Jhumpa Lahiri’s short story “Unaccustomed Earth,” a second-generation Indian American woman navigating family expectations, grief, and cultural identity.
  • D. Ruma
    Ruma is a town in the Srem District of the autonomous province of Vojvodina in northern Serbia, known as a regional administrative and economic center.
  • E. Ruma
    Ruma is a character in the Hindu epic Ramayana, known as the wife of the Vanara king Sugriva.
  • 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: Galwa
Triple: [Myene, hasDialect, Galwa]
Generated description
Galwa is a dialect of the Myene language spoken by communities in Gabon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galwa
Target entity description: Galwa is a dialect of the Myene language spoken by communities in Gabon.
  • A. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • B. Tathra
    Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
  • C. Ruma
    Ruma is a town in the Srem District of the autonomous province of Vojvodina in northern Serbia, known as a regional administrative and economic center.
  • D. Ruma
    Ruma is a central character in Jhumpa Lahiri’s short story “Unaccustomed Earth,” a second-generation Indian American woman navigating family expectations, grief, and cultural identity.
  • E. Ruma
    Ruma is a character in the Hindu epic Ramayana, known as the wife of the Vanara king Sugriva.
  • 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.