Triple
T19004588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIRR Port Jefferson Branch |
E465045
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Syosset
Syosset is a suburban hamlet on Long Island, New York, known for its residential character, strong school district, and commuter access to New York City.
|
E1353838
|
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: Syosset | Statement: [LIRR Port Jefferson Branch, hasStation, Syosset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syosset Context triple: [LIRR Port Jefferson Branch, hasStation, Syosset]
-
A.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
-
B.
Sosoxui
Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
-
C.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
D.
Soshy
Soshy is a French singer and songwriter known for her pop and electronic-influenced collaborations, including work with major international artists.
-
E.
Soyembika
Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
- 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: Syosset Triple: [LIRR Port Jefferson Branch, hasStation, Syosset]
Generated description
Syosset is a suburban hamlet on Long Island, New York, known for its residential character, strong school district, and commuter access to New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syosset Target entity description: Syosset is a suburban hamlet on Long Island, New York, known for its residential character, strong school district, and commuter access to New York City.
-
A.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
-
B.
Sosoxui
Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
-
C.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
D.
Soshy
Soshy is a French singer and songwriter known for her pop and electronic-influenced collaborations, including work with major international artists.
-
E.
Soyembika
Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a3db9c8190a1bf0228e360a6e0 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45fe5d481908a50081362a5673c |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.