Triple
T4818223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croton Watershed |
E107642
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lake Gilead
Lake Gilead is a small reservoir in Putnam County, New York, that serves as part of New York City's Croton water supply system.
|
E848492
|
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: Lake Gilead | Statement: [Croton Watershed, contains, Lake Gilead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Gilead Context triple: [Croton Watershed, contains, Lake Gilead]
-
A.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
B.
Lake Boren
Lake Boren is a freshwater lake in eastern Sweden that forms part of the Göta Canal waterway system and lies near the town of Motala.
-
C.
Lake Zoar
Lake Zoar is a man-made reservoir in western Connecticut popular for boating, fishing, and other recreational activities.
-
D.
Esrum Lake
Esrum Lake is one of Denmark’s largest and deepest lakes, known for its scenic natural surroundings and recreational opportunities in North Zealand.
-
E.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
- 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: Lake Gilead Triple: [Croton Watershed, contains, Lake Gilead]
Generated description
Lake Gilead is a small reservoir in Putnam County, New York, that serves as part of New York City's Croton water supply system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Gilead Target entity description: Lake Gilead is a small reservoir in Putnam County, New York, that serves as part of New York City's Croton water supply system.
-
A.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
B.
Lake Boren
Lake Boren is a freshwater lake in eastern Sweden that forms part of the Göta Canal waterway system and lies near the town of Motala.
-
C.
Lake Zoar
Lake Zoar is a man-made reservoir in western Connecticut popular for boating, fishing, and other recreational activities.
-
D.
Esrum Lake
Esrum Lake is one of Denmark’s largest and deepest lakes, known for its scenic natural surroundings and recreational opportunities in North Zealand.
-
E.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c95b0ec8190a562541b0d7417cb |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d369226a28819088b14cbc4cb78e57 |
completed | April 6, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69d36a006da48190b98b325b7dc24caa |
completed | April 6, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d36a5343588190923c3fe62368cd0a |
completed | April 6, 2026, 8:09 a.m. |
Created at: March 20, 2026, 1:24 p.m.