Triple
T11718438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Sausalito |
E278562
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Lake Sausalito
Lake Sausalito is a body of water in Viña del Mar, Chile, best known for giving its name to the nearby Estadio Sausalito football stadium.
|
E942764
|
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 Sausalito | Statement: [Estadio Sausalito, namedAfter, Lake Sausalito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Sausalito Context triple: [Estadio Sausalito, namedAfter, Lake Sausalito]
-
A.
Lake Miwok
Lake Miwok is an extinct Native American language formerly spoken by the Miwok people around Clear Lake in Northern California.
-
B.
Lake Sonoma
Lake Sonoma is a large man-made reservoir in Sonoma County, California, known for recreation, wildlife habitat, and regional water storage and flood control.
-
C.
Lake Mendocino
Lake Mendocino is a man-made reservoir in Mendocino County, California, used for water storage, flood control, and recreation.
-
D.
Lake Nummy
Lake Nummy is a small recreational lake in New Jersey known for swimming, fishing, and camping within Belleplain State Forest.
-
E.
Lake Carnegie
Lake Carnegie is a man-made lake in Princeton, New Jersey, best known as a rowing and recreational waterway associated with Princeton University.
- 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 Sausalito Triple: [Estadio Sausalito, namedAfter, Lake Sausalito]
Generated description
Lake Sausalito is a body of water in Viña del Mar, Chile, best known for giving its name to the nearby Estadio Sausalito football stadium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Sausalito Target entity description: Lake Sausalito is a body of water in Viña del Mar, Chile, best known for giving its name to the nearby Estadio Sausalito football stadium.
-
A.
Lake Miwok
Lake Miwok is an extinct Native American language formerly spoken by the Miwok people around Clear Lake in Northern California.
-
B.
Lake Sonoma
Lake Sonoma is a large man-made reservoir in Sonoma County, California, known for recreation, wildlife habitat, and regional water storage and flood control.
-
C.
Lake Mendocino
Lake Mendocino is a man-made reservoir in Mendocino County, California, used for water storage, flood control, and recreation.
-
D.
Lake Nummy
Lake Nummy is a small recreational lake in New Jersey known for swimming, fishing, and camping within Belleplain State Forest.
-
E.
Lake Carnegie
Lake Carnegie is a man-made lake in Princeton, New Jersey, best known as a rowing and recreational waterway associated with Princeton University.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c26e4c8190ae30d906b4fd4221 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83b9131c819085f7bcab902c3763 |
completed | April 27, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69ef96b13be881908102ffa867f96c22 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb51113708190998b570c33b9d0e7 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 8, 2026, 9:40 p.m.