Triple
T1360639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeastern Massachusetts |
E29090
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Norton
Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
|
E155744
|
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: Norton | Statement: [Southeastern Massachusetts, containsTown, Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norton Context triple: [Southeastern Massachusetts, containsTown, Norton]
-
A.
Norton
Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
-
B.
Norton
Norton is a residential suburb within the town of Runcorn in Cheshire, England.
-
C.
Comodo Dragon
Comodo Dragon is a Chromium-based web browser developed by Comodo that emphasizes enhanced security and privacy features compared to standard browsers.
-
D.
Over Norton
Over Norton is a small rural village in Oxfordshire, England, situated near the market town of Chipping Norton.
-
E.
AVG
AVG refers to the American Volunteer Group, the World War II unit of volunteer U.S. pilots famously known as the Flying Tigers who flew for China against Japan before America’s official entry into the war.
- 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: Norton Triple: [Southeastern Massachusetts, containsTown, Norton]
Generated description
Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norton Target entity description: Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
-
A.
Norton
Norton is a residential suburb within the town of Runcorn in Cheshire, England.
-
B.
Norton
Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
-
C.
Comodo Dragon
Comodo Dragon is a Chromium-based web browser developed by Comodo that emphasizes enhanced security and privacy features compared to standard browsers.
-
D.
Over Norton
Over Norton is a small rural village in Oxfordshire, England, situated near the market town of Chipping Norton.
-
E.
AVG
AVG refers to the American Volunteer Group, the World War II unit of volunteer U.S. pilots famously known as the Flying Tigers who flew for China against Japan before America’s official entry into the war.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce725fec819085f6de8e6e368aa4 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf9ac120819084c21fb7b88c050a |
completed | March 8, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accffa9a40819083a3e55a5d83e040 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:56 p.m.