Triple

T11867916
Position Surface form Disambiguated ID Type / Status
Subject National Museum of Taiwan History E282331 entity
Predicate shortName P43 FINISHED
Object NMTH
NMTH is the acronym for the National Museum of Taiwan History, a major institution dedicated to preserving and presenting Taiwan’s historical and cultural heritage.
 E950998 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: NMTH | Statement: [National Museum of Taiwan History, shortName, NMTH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMTH
Context triple: [National Museum of Taiwan History, shortName, NMTH]
  • A. NMH
    NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
  • B. Nmnl
    Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
  • C. NTH
    NTH is the IATA airport code for Hokkaido Air System’s destination of Natashan Airport in Japan.
  • D. NTH
    NTH is a German alliance of technical universities in Lower Saxony that collaborate in research, teaching, and innovation.
  • E. NTH
    NTH is the National Rail station code for Neath railway station in Neath, Wales.
  • 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: NMTH
Triple: [National Museum of Taiwan History, shortName, NMTH]
Generated description
NMTH is the acronym for the National Museum of Taiwan History, a major institution dedicated to preserving and presenting Taiwan’s historical and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMTH
Target entity description: NMTH is the acronym for the National Museum of Taiwan History, a major institution dedicated to preserving and presenting Taiwan’s historical and cultural heritage.
  • A. NMH
    NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
  • B. Nmnl
    Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
  • C. NTH
    NTH is the IATA airport code for Hokkaido Air System’s destination of Natashan Airport in Japan.
  • D. NTH
    NTH is a German alliance of technical universities in Lower Saxony that collaborate in research, teaching, and innovation.
  • E. NTH
    NTH is the National Rail station code for Neath railway station in Neath, Wales.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73a233081909449ab294d01a512 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281a2abfc8190a4769e637dedaaab completed April 29, 2026, 10:09 p.m.
NEDg Description generation batch_69f28a92ac90819092eef473a49d329e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c462d888190a43e042b00921dbe completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:43 p.m.