Triple
T19652564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Montebello |
E471851
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Paterson
Paterson is a historic industrial city in northern New Jersey known for its Great Falls and diverse urban community.
|
E864434
|
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: Paterson | Statement: [Village of Montebello, nearbyCity, Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paterson Context triple: [Village of Montebello, nearbyCity, Paterson]
-
A.
Paterson
Paterson is a 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
-
B.
Paterson
Paterson is a long, modernist epic poem by William Carlos Williams that explores the life, landscape, and history of the city of Paterson, New Jersey.
-
C.
Paterson
Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
-
D.
Paterson
Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
-
E.
Paterson
Paterson is a town in South Africa’s Eastern Cape province, known as a small rural settlement and gateway to nearby game reserves and agricultural areas.
- 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: Paterson Triple: [Village of Montebello, nearbyCity, Paterson]
Generated description
Paterson is a historic industrial city in northern New Jersey known for its Great Falls and diverse urban community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paterson Target entity description: Paterson is a historic industrial city in northern New Jersey known for its Great Falls and diverse urban community.
-
A.
Paterson
chosen
Paterson is a major city in northern New Jersey known for its industrial history, diverse population, and role as a regional transportation hub.
-
B.
Paterson
Paterson is a long, modernist epic poem by William Carlos Williams that explores the life, landscape, and history of the city of Paterson, New Jersey.
-
C.
Paterson
Paterson is a town in South Africa’s Eastern Cape province, known as a small rural settlement and gateway to nearby game reserves and agricultural areas.
-
D.
Paterson
Paterson is a 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
-
E.
Paterson
Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
- F. None of above.
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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414327d88190826ab9511f2f8e48 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a0aa72c8190be30c5abd4c68786 |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085ab05b708190b69aaeb43aca664e |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085b505a0481909e3f54868b732fc8 |
completed | May 16, 2026, 11:56 a.m. |
Created at: April 10, 2026, 1:44 p.m.