Triple

T1916134
Position Surface form Disambiguated ID Type / Status
Subject Nagaland E40020 entity
Predicate hasCity P316 FINISHED
Object Mon
Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
E216400 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: Mon | Statement: [Nagaland, hasCity, Mon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mon
Context triple: [Nagaland, hasCity, Mon]
  • A. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • B. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • C. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • D. Mardi
    "Mardi" is an 1849 novel by Herman Melville, known as his first major foray into philosophical and allegorical fiction set in a fantastical South Seas archipelago.
  • E. Muanda
    Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
  • 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: Mon
Triple: [Nagaland, hasCity, Mon]
Generated description
Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mon
Target entity description: Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
  • A. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • B. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • C. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • D. Mardi
    "Mardi" is an 1849 novel by Herman Melville, known as his first major foray into philosophical and allegorical fiction set in a fantastical South Seas archipelago.
  • E. Muanda
    Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3da81308190a49844a8ac2997da completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5d259488190ad105f0083577ecc completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6264d148190be0daef2be7f920d completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:35 p.m.