Triple
T19599152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orangetown |
E470421
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nauraushaun
Nauraushaun is a hamlet and residential community within the town of Orangetown in Rockland County, New York.
|
E1384949
|
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: Nauraushaun | Statement: [Orangetown, contains, Nauraushaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nauraushaun Context triple: [Orangetown, contains, Nauraushaun]
-
A.
Biryuch
Biryuch is a small town in Belgorod Oblast, Russia, known historically as a local trading center and administrative hub in the region.
-
B.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
C.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
D.
Uchkuduk
Uchkuduk is a town in central Uzbekistan known for its uranium mining industry and location within the Kyzylkum Desert.
-
E.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
- 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: Nauraushaun Triple: [Orangetown, contains, Nauraushaun]
Generated description
Nauraushaun is a hamlet and residential community within the town of Orangetown in Rockland County, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nauraushaun Target entity description: Nauraushaun is a hamlet and residential community within the town of Orangetown in Rockland County, New York.
-
A.
Biryuch
Biryuch is a small town in Belgorod Oblast, Russia, known historically as a local trading center and administrative hub in the region.
-
B.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
C.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
D.
Uchkuduk
Uchkuduk is a town in central Uzbekistan known for its uranium mining industry and location within the Kyzylkum Desert.
-
E.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f1be2d48190a1beec726ea4e410 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a075fde0d8c8190aefc4a06beda2c79 |
completed | May 15, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a076039f7188190add1c65a4a9e32ce |
completed | May 15, 2026, 6:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.