Triple
T30040412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap Sante |
E763283
|
entity |
| Predicate | hasViewpointArea |
P127904
|
FINISHED |
| Object |
Cap Sante Park
Cap Sante Park is a scenic public park in Anacortes, Washington, known for its panoramic views of the surrounding bay, islands, and marina.
|
E1896429
|
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: Cap Sante Park | Statement: [Cap Sante, hasViewpointArea, Cap Sante Park]
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: Cap Sante Park Triple: [Cap Sante, hasViewpointArea, Cap Sante Park]
Generated description
Cap Sante Park is a scenic public park in Anacortes, Washington, known for its panoramic views of the surrounding bay, islands, and marina.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewpointArea Context triple: [Cap Sante, hasViewpointArea, Cap Sante Park]
-
A.
hasViewingPointFor
chosen
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
-
B.
hasViewpointType
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
-
C.
hasViewpointConcept
Indicates that something is associated with, characterized by, or defined through a particular viewpoint, perspective, or conceptual stance.
-
D.
hasViewpointStatus
Indicates that an entity holds a particular evaluative or perspectival status (e.g., stance, opinion, or viewpoint classification) with respect to something.
-
E.
hasObservationArea
Indicates that an entity possesses or includes a designated area from which observations or monitoring activities are conducted.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27323dfd1881908e84efff7ec10618 |
completed | June 8, 2026, 9:21 p.m. |
| NEDg | Description generation | batch_6a2733e4a464819091d537d4e7d5faf8 |
completed | June 8, 2026, 9:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27349247c48190a187929ff649cf5b |
completed | June 8, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 6:52 p.m.