Triple
T10698371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Massachusetts |
E252203
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Amesbury
Amesbury is a historic New England city in northeastern Massachusetts known for its early shipbuilding and industrial heritage along the Merrimack River.
|
E880877
|
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: Amesbury | Statement: [Northern Massachusetts, hasTown, Amesbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amesbury Context triple: [Northern Massachusetts, hasTown, Amesbury]
-
A.
Amesbury
Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
-
B.
Romsey
Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
-
C.
Sherborne
Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
-
D.
Sherborne
Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
-
E.
Malmesbury
Malmesbury is a historic market town in Wiltshire, England, renowned for its ancient abbey and status as one of the oldest continually inhabited towns in the country.
- 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: Amesbury Triple: [Northern Massachusetts, hasTown, Amesbury]
Generated description
Amesbury is a historic New England city in northeastern Massachusetts known for its early shipbuilding and industrial heritage along the Merrimack River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amesbury Target entity description: Amesbury is a historic New England city in northeastern Massachusetts known for its early shipbuilding and industrial heritage along the Merrimack River.
-
A.
Amesbury
Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
-
B.
Romsey
Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
-
C.
Sherborne
Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
-
D.
Sherborne
Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
-
E.
Malmesbury
Malmesbury is a historic market town in Wiltshire, England, renowned for its ancient abbey and status as one of the oldest continually inhabited towns in the country.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8a03848190bf68dd470bee103a |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998e447e0819098e839e9e121a21f |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:12 p.m.