Triple

T10371036
Position Surface form Disambiguated ID Type / Status
Subject Ayeyarwady Region E244382 entity
Predicate contains P35 FINISHED
Object Labutta
Labutta is a town in southwestern Myanmar that serves as an important local center within the Ayeyarwady Delta.
 E860737 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: Labutta | Statement: [Ayeyarwady Region, contains, Labutta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Labutta
Context triple: [Ayeyarwady Region, contains, Labutta]
  • A. Tabutoa
    Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • B. Sabini
    Sabini is the Latin name for the ancient Italic tribe known as the Sabine people, who inhabited central Italy and played a significant role in early Roman history.
  • C. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • D. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • E. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • 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: Labutta
Triple: [Ayeyarwady Region, contains, Labutta]
Generated description
Labutta is a town in southwestern Myanmar that serves as an important local center within the Ayeyarwady Delta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Labutta
Target entity description: Labutta is a town in southwestern Myanmar that serves as an important local center within the Ayeyarwady Delta.
  • A. Tabutoa
    Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • B. Sabini
    Sabini is the Latin name for the ancient Italic tribe known as the Sabine people, who inhabited central Italy and played a significant role in early Roman history.
  • C. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • D. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • E. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7955bb0ec8190b4d1da4af981436a completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:01 p.m.