Triple

T14437598
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba Express E358003 entity
Predicate hasAbbreviation P43 FINISHED
Object TX
TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
 E1099296 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: TX | Statement: [Tsukuba Express, hasAbbreviation, TX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TX
Context triple: [Tsukuba Express, hasAbbreviation, TX]
  • A. TX
    TX is the IATA airline designator assigned to Air Caraïbes, a French Caribbean airline.
  • B. Texas
    Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
  • C. Teksas
    Teksas is the famously passionate and vocal supporter group of the Turkish football club Bursaspor, known for its intense atmosphere and choreographies at matches.
  • D. The Texas
    The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
  • E. Cool, Texas
    Cool, Texas is a small rural town in North Texas known for its quiet community and location along U.S. Highway 180 west of Weatherford.
  • 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: TX
Triple: [Tsukuba Express, hasAbbreviation, TX]
Generated description
TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TX
Target entity description: TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
  • A. TX
    TX is the IATA airline designator assigned to Air Caraïbes, a French Caribbean airline.
  • B. Texas
    Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
  • C. Teksas
    Teksas is the famously passionate and vocal supporter group of the Turkish football club Bursaspor, known for its intense atmosphere and choreographies at matches.
  • D. The Texas
    The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
  • E. Cool, Texas
    Cool, Texas is a small rural town in North Texas known for its quiet community and location along U.S. Highway 180 west of Weatherford.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd7f46881908df1a1cea7b6af9b completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d585cc08190908bc5f9b8abdb82 completed May 8, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e0bbd6c8190b14039b3335692c7 completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.