Triple
T17928539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laconia, New Hampshire |
E448262
|
entity |
| Predicate | waterBodyWithin |
P1714
|
FINISHED |
| Object |
Lake Opechee
Lake Opechee is a scenic freshwater lake in Laconia, New Hampshire, known for recreational activities such as boating, fishing, and lakeside relaxation.
|
E1930194
|
NE FINISHED |
How this triple was built (3 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 Opechee | Statement: [Laconia, New Hampshire, waterBodyWithin, Lake Opechee]
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 Opechee Triple: [Laconia, New Hampshire, waterBodyWithin, Lake Opechee]
Generated description
Lake Opechee is a scenic freshwater lake in Laconia, New Hampshire, known for recreational activities such as boating, fishing, and lakeside relaxation.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyWithin Context triple: [Laconia, New Hampshire, waterBodyWithin, Lake Opechee]
-
A.
isInlandWaterBodyOf
Indicates that one water body is an inland (non-oceanic) water feature that is geographically part of, contained within, or associated with another entity.
-
B.
isInlandWaterBody
Indicates that one entity is a body of water located inland (such as a lake, river, or reservoir) rather than part of the open ocean or sea.
-
C.
locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
-
D.
locatedInBodyOfWater
chosen
Indicates that an entity is situated within or on the surface of a specific body of water.
-
E.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
- F. None of above.
Provenance (6 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5505af88190aa7a5cfee0baa3a4 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28b06199e48190a1da91f03a6f8712 |
completed | June 10, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a28b1b3d41481908b42370b7ad16ba4 |
completed | June 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28b2561d808190b5fbfc96e46634df |
completed | June 10, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:20 a.m.