Triple
T14390956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgemead |
E356839
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object |
Monte Vista
Monte Vista is a residential suburb in the Northern Suburbs of Cape Town, South Africa.
|
E1096806
|
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: Monte Vista | Statement: [Edgemead, nearbyPlace, Monte Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Vista Context triple: [Edgemead, nearbyPlace, Monte Vista]
-
A.
Monte Vista
Monte Vista was the former name of the city now known as Montclair in San Bernardino County, California.
-
B.
Rincon Hill
Rincon Hill is a residential and commercial neighborhood in San Francisco known for its high-rise condos, views of the Bay Bridge, and proximity to the city’s downtown and waterfront.
-
C.
Alta Loma
Alta Loma is a former unincorporated community in San Bernardino County, California, now a neighborhood within the city of Rancho Cucamonga.
-
D.
Mount Rubidoux
Mount Rubidoux is a prominent hill and public park in Riverside, California, known for its scenic hiking trails and historic Easter sunrise services.
-
E.
Garcia Mountain
Garcia Mountain is a prominent peak in San Luis Obispo County, California, known for its rugged chaparral-covered slopes and panoramic views of the surrounding Central Coast ranges.
- 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: Monte Vista Triple: [Edgemead, nearbyPlace, Monte Vista]
Generated description
Monte Vista is a residential suburb in the Northern Suburbs of Cape Town, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monte Vista Target entity description: Monte Vista is a residential suburb in the Northern Suburbs of Cape Town, South Africa.
-
A.
Monte Vista
Monte Vista was the former name of the city now known as Montclair in San Bernardino County, California.
-
B.
Rincon Hill
Rincon Hill is a residential and commercial neighborhood in San Francisco known for its high-rise condos, views of the Bay Bridge, and proximity to the city’s downtown and waterfront.
-
C.
Alta Loma
Alta Loma is a former unincorporated community in San Bernardino County, California, now a neighborhood within the city of Rancho Cucamonga.
-
D.
Mount Rubidoux
Mount Rubidoux is a prominent hill and public park in Riverside, California, known for its scenic hiking trails and historic Easter sunrise services.
-
E.
Garcia Mountain
Garcia Mountain is a prominent peak in San Luis Obispo County, California, known for its rugged chaparral-covered slopes and panoramic views of the surrounding Central Coast ranges.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5517f5e481908fd65177c34f4282 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56cbbf7c8190a2e726ac415d3a38 |
completed | May 8, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57911f788190a1a69bb344b15275 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:16 a.m.