Triple
T6681797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Simeon |
E151999
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object |
Cambria
Cambria is a small coastal town in California known for its scenic shoreline, Monterey pines, and proximity to attractions like Hearst Castle.
|
E151997
|
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: Cambria | Statement: [San Simeon, locatedBetween, Cambria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambria Context triple: [San Simeon, locatedBetween, Cambria]
-
A.
Crome
Crome is the fictional English country house that serves as the central setting for Aldous Huxley’s satirical novel "Crome Yellow."
-
B.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
-
C.
The Lyons
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
-
D.
Semyorka
Semyorka is the nickname for the Soviet R-7 family of rockets, historically significant as the launch vehicles for Sputnik and early crewed spaceflights.
-
E.
Alba
Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
- 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: Cambria Triple: [San Simeon, locatedBetween, Cambria]
Generated description
Cambria is a small coastal town in California known for its scenic shoreline, Monterey pines, and proximity to attractions like Hearst Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cambria Target entity description: Cambria is a small coastal town in California known for its scenic shoreline, Monterey pines, and proximity to attractions like Hearst Castle.
-
A.
Cambria
chosen
Cambria is a coastal village in California known for its scenic shoreline, Monterey pines, and proximity to attractions like Hearst Castle.
-
B.
Cambria
Cambria is the Latin name for Wales, historically used in scientific and poetic contexts, including the naming of the Cambrian geological period.
-
C.
Crome
Crome is the fictional English country house that serves as the central setting for Aldous Huxley’s satirical novel "Crome Yellow."
-
D.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
-
E.
The Lyons
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
- F. None of above.
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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b11f945481908e1a9f0839c35b5b |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ac6714819081966dea66b590c1 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6fa1afd7081908c45b5a4f1f4d117 |
completed | March 27, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6faa38df0819095d1479ccab03c56 |
completed | March 27, 2026, 9:46 p.m. |
Created at: March 27, 2026, 2:04 p.m.