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.