Triple

T7252670
Position Surface form Disambiguated ID Type / Status
Subject Longgu language E157641 entity
Predicate glottologName P6521 FINISHED
Object Longgu
Longgu is an Oceanic Austronesian language spoken in the Solomon Islands, known for its complex verbal morphology and rich system of possessive constructions.
E651426 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: Longgu | Statement: [Longgu language, glottologName, Longgu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longgu
Context triple: [Longgu language, glottologName, Longgu]
  • A. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • D. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • E. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • 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: Longgu
Triple: [Longgu language, glottologName, Longgu]
Generated description
Longgu is an Oceanic Austronesian language spoken in the Solomon Islands, known for its complex verbal morphology and rich system of possessive constructions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Longgu
Target entity description: Longgu is an Oceanic Austronesian language spoken in the Solomon Islands, known for its complex verbal morphology and rich system of possessive constructions.
  • A. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • D. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • E. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea9d41908190bb76c6a5b9d5b1a2 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3ac0de88190990c1ef25636260c completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d4141ecc8190a5c9d1f9f334abb2 completed March 28, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4a4b6288190abc3277e1447163a completed March 28, 2026, 1:16 p.m.
Created at: March 27, 2026, 2:56 p.m.