Triple
T21522692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clairemont |
E531013
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Bay Ho
Bay Ho is a residential neighborhood in San Diego, California, known for its suburban character and proximity to Mission Bay.
|
E1489515
|
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: Bay Ho | Statement: [Clairemont, hasSubdivision, Bay Ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bay Ho Context triple: [Clairemont, hasSubdivision, Bay Ho]
-
A.
Pokai Bay
Pokai Bay is a scenic coastal bay and popular beach area on the leeward side of Oʻahu in Hawaiʻi, known for its calm waters, recreational activities, and cultural significance to the local Waiʻanae community.
-
B.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
C.
Haimoo
Haimoo is a small village located within the municipality of Vihti in southern Finland.
-
D.
Doton’s Point
Doton’s Point is a recreational access area on the shores of Folsom Lake in California, commonly used for activities like hiking, picnicking, and shoreline access.
-
E.
Ko Tapu
Ko Tapu is a tall, narrow limestone islet in Thailand famously known as "James Bond Island" for its appearance in the film *The Man with the Golden Gun*.
- 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: Bay Ho Triple: [Clairemont, hasSubdivision, Bay Ho]
Generated description
Bay Ho is a residential neighborhood in San Diego, California, known for its suburban character and proximity to Mission Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bay Ho Target entity description: Bay Ho is a residential neighborhood in San Diego, California, known for its suburban character and proximity to Mission Bay.
-
A.
Pokai Bay
Pokai Bay is a scenic coastal bay and popular beach area on the leeward side of Oʻahu in Hawaiʻi, known for its calm waters, recreational activities, and cultural significance to the local Waiʻanae community.
-
B.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
C.
Haimoo
Haimoo is a small village located within the municipality of Vihti in southern Finland.
-
D.
Doton’s Point
Doton’s Point is a recreational access area on the shores of Folsom Lake in California, commonly used for activities like hiking, picnicking, and shoreline access.
-
E.
Ko Tapu
Ko Tapu is a tall, narrow limestone islet in Thailand famously known as "James Bond Island" for its appearance in the film *The Man with the Golden Gun*.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884db3ac81909e77d22d607ac72d |
completed | April 26, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e8271eb08190bcfb9c33558615d3 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09eb817ab08190872aa7c5e61a4d6c |
completed | May 17, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ec5281308190988f0427f6abda69 |
completed | May 17, 2026, 4:26 p.m. |
Created at: April 16, 2026, 6:26 p.m.