Triple
T5419271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Fork |
E121207
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Orient
Orient is a small coastal hamlet on the North Fork of Long Island in New York, known for its historic charm and waterfront setting.
|
E519883
|
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: Orient | Statement: [North Fork, hasTown, Orient]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orient Context triple: [North Fork, hasTown, Orient]
-
A.
Orient
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
-
B.
L’Orient
L’Orient was a massive French ship of the line that served as Admiral Brueys’ flagship and was famously destroyed in a catastrophic explosion during the Battle of the Nile in 1798.
-
C.
Ourthe Orientale
Ourthe Orientale is a river in southeastern Belgium that forms one of the main headwaters of the Ourthe River in the Ardennes region.
-
D.
Easty
Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
-
E.
Oroqen
The Oroqen are a small Tungusic-speaking indigenous people of northeastern China, traditionally known as hunters and reindeer herders living in the forests of the Greater and Lesser Khingan Mountains.
- 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: Orient Triple: [North Fork, hasTown, Orient]
Generated description
Orient is a small coastal hamlet on the North Fork of Long Island in New York, known for its historic charm and waterfront setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orient Target entity description: Orient is a small coastal hamlet on the North Fork of Long Island in New York, known for its historic charm and waterfront setting.
-
A.
Orient
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
-
B.
L’Orient
L’Orient was a massive French ship of the line that served as Admiral Brueys’ flagship and was famously destroyed in a catastrophic explosion during the Battle of the Nile in 1798.
-
C.
Ourthe Orientale
Ourthe Orientale is a river in southeastern Belgium that forms one of the main headwaters of the Ourthe River in the Ardennes region.
-
D.
Easty
Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
-
E.
Oroqen
The Oroqen are a small Tungusic-speaking indigenous people of northeastern China, traditionally known as hunters and reindeer herders living in the forests of the Greater and Lesser Khingan Mountains.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e7ae388190b26d16d42e717023 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab152248190847686ff42ac810c |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3b72f1fc8190a2fbc516cf75abdb |
completed | March 22, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3f44fdd08190bb9ba0e10e4410af |
completed | March 22, 2026, 1 a.m. |
Created at: March 20, 2026, 2:05 p.m.