Triple

T28028447
Position Surface form Disambiguated ID Type / Status
Subject Charlestown E708192 entity
Predicate oneOfOldestNeighborhoodsOf P58759 FINISHED
Object Boston
Boston is a historic coastal city in Massachusetts known for its pivotal role in the American Revolution, prestigious universities, and rich cultural and architectural heritage.
E906091 NE FINISHED

How this triple was built (3 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: Boston | Statement: [Charlestown, oneOfOldestNeighborhoodsOf, Boston]
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: Boston
Triple: [Charlestown, oneOfOldestNeighborhoodsOf, Boston]
Generated description
Boston is a historic coastal city in Massachusetts known for its pivotal role in the American Revolution, prestigious universities, and rich cultural and architectural heritage.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfOldestNeighborhoodsOf
Context triple: [Charlestown, oneOfOldestNeighborhoodsOf, Boston]
  • A. formerNeighborhood
    Indicates that an entity was previously located in or associated with a particular neighborhood but is no longer situated there.
  • B. oneOfOldestCities
    Indicates that the subject is among the oldest cities within a specified group, region, or context.
  • C. oneOfTheOldestOn chosen
    Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
  • D. isOldestCityIn
    Indicates that one city holds the distinction of being the most ancient or earliest established within a specified region, country, or group of cities.
  • E. oneOfTheOldestCongregationsIn
    Indicates that the subject is among the earliest-established congregations located in the specified place.
  • F. None of above.

Provenance (6 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_69ef9b6bdd9c8190bb3a574a03774ad1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e694d3f481908182045934f42d90 completed May 26, 2026, 6:29 p.m.
NEDg Description generation batch_6a15eab3ba408190a06d71a8d71a8337 completed May 26, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a15f326278481909dda2c686252aa23 completed May 26, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69f65c2198208190a3954086c22cfcbf completed May 2, 2026, 8:18 p.m.
Created at: April 27, 2026, 8:14 p.m.