Triple
T11422967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimapur |
E270671
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
DMU
DMU is the IATA airport code for Dimapur Airport, which serves the city of Dimapur in the Indian state of Nagaland.
|
E924614
|
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: DMU | Statement: [Dimapur, airportIATAcode, DMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DMU Context triple: [Dimapur, airportIATAcode, DMU]
-
A.
DIT University
DIT University is a private higher education institution in Dehradun, India, known for its engineering, technology, and management programs.
-
B.
UoM
UoM is the commonly used abbreviation for the University of Mysore, a public state university located in Mysuru, Karnataka, India.
-
C.
UoM
UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
-
D.
De Montfort University
De Montfort University is a public university based in Leicester, England, known for its strong emphasis on professional, creative, and vocational education and research.
-
E.
RMU
RMU is a public medical university located in Rawalpindi, Pakistan, known for training healthcare professionals and conducting medical research.
- 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: DMU Triple: [Dimapur, airportIATAcode, DMU]
Generated description
DMU is the IATA airport code for Dimapur Airport, which serves the city of Dimapur in the Indian state of Nagaland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DMU Target entity description: DMU is the IATA airport code for Dimapur Airport, which serves the city of Dimapur in the Indian state of Nagaland.
-
A.
DIT University
DIT University is a private higher education institution in Dehradun, India, known for its engineering, technology, and management programs.
-
B.
UoM
UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
-
C.
UoM
UoM is the commonly used abbreviation for the University of Mysore, a public state university located in Mysuru, Karnataka, India.
-
D.
De Montfort University
De Montfort University is a public university based in Leicester, England, known for its strong emphasis on professional, creative, and vocational education and research.
-
E.
RMU
RMU is a public medical university located in Rawalpindi, Pakistan, known for training healthcare professionals and conducting medical research.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8a1e88c8190994bea88a0490e60 |
completed | April 20, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69e5c28e2dd481909b45a43b5825f393 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c4722c348190a4c49edb1f6df240 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:34 p.m.