Triple

T8747332
Position Surface form Disambiguated ID Type / Status
Subject NTH – Niedersächsische Technische Hochschule alliance E207863 entity
Predicate hasAbbreviation P43 FINISHED
Object NTH
NTH is a German alliance of technical universities in Lower Saxony that collaborate in research, teaching, and innovation.
E755292 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: NTH | Statement: [NTH – Niedersächsische Technische Hochschule alliance, hasAbbreviation, NTH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTH
Context triple: [NTH – Niedersächsische Technische Hochschule alliance, hasAbbreviation, NTH]
  • A. NTH
    NTH is the National Rail station code for Neath railway station in Neath, Wales.
  • B. NTH
    NTH is the IATA airport code for Hokkaido Air System’s destination of Natashan Airport in Japan.
  • C. NHT
    NHT is the IATA airport code for RAF Northolt, a Royal Air Force station in West London that also handles some civil and governmental air traffic.
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • 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: NTH
Triple: [NTH – Niedersächsische Technische Hochschule alliance, hasAbbreviation, NTH]
Generated description
NTH is a German alliance of technical universities in Lower Saxony that collaborate in research, teaching, and innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NTH
Target entity description: NTH is a German alliance of technical universities in Lower Saxony that collaborate in research, teaching, and innovation.
  • A. NTH
    NTH is the National Rail station code for Neath railway station in Neath, Wales.
  • B. NTH
    NTH is the IATA airport code for Hokkaido Air System’s destination of Natashan Airport in Japan.
  • C. NHT
    NHT is the IATA airport code for RAF Northolt, a Royal Air Force station in West London that also handles some civil and governmental air traffic.
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da2d67c819094b2b39c78384d0d completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf454c4d248190a925b15c23af1a24 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.