Triple
T22537978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sand Key |
E557205
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object |
Belleair
Belleair is a small coastal town in Pinellas County, Florida, known for its upscale residential neighborhoods and proximity to Gulf Coast beaches.
|
E1542285
|
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: Belleair | Statement: [Sand Key, hasNearbyCity, Belleair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belleair Context triple: [Sand Key, hasNearbyCity, Belleair]
-
A.
Belle Haven
Belle Haven is an affluent, waterfront residential neighborhood in Greenwich, Connecticut, known for its private, gated community and scenic views of Long Island Sound.
-
B.
Belle Haven
Belle Haven is a residential neighborhood in the city of Menlo Park on the San Francisco Peninsula in California.
-
C.
Valthermond
Valthermond is a village in the Dutch province of Drenthe, known for its origins as a peat-excavation settlement along a canal.
-
D.
LaBelle
LaBelle is a small city in Hendry County, Florida, known as a rural hub near the Caloosahatchee River with an economy rooted in agriculture and outdoor recreation.
-
E.
LaBelle
LaBelle was a pioneering 1970s American female vocal group best known for their hit "Lady Marmalade" and their flamboyant, funk-rock style.
- 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: Belleair Triple: [Sand Key, hasNearbyCity, Belleair]
Generated description
Belleair is a small coastal town in Pinellas County, Florida, known for its upscale residential neighborhoods and proximity to Gulf Coast beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belleair Target entity description: Belleair is a small coastal town in Pinellas County, Florida, known for its upscale residential neighborhoods and proximity to Gulf Coast beaches.
-
A.
Belle Haven
Belle Haven is an affluent, waterfront residential neighborhood in Greenwich, Connecticut, known for its private, gated community and scenic views of Long Island Sound.
-
B.
Belle Haven
Belle Haven is a residential neighborhood in the city of Menlo Park on the San Francisco Peninsula in California.
-
C.
Valthermond
Valthermond is a village in the Dutch province of Drenthe, known for its origins as a peat-excavation settlement along a canal.
-
D.
LaBelle
LaBelle is a small city in Hendry County, Florida, known as a rural hub near the Caloosahatchee River with an economy rooted in agriculture and outdoor recreation.
-
E.
LaBelle
LaBelle was a pioneering 1970s American female vocal group best known for their hit "Lady Marmalade" and their flamboyant, funk-rock style.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f2f671c8190b7a7d9b6d0d64a9b |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1de3f350819087fcaf8ab9514673 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1f835fcc8190863844a260a47ba9 |
completed | May 18, 2026, 2:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b257ec8a481908bf6c6c0b722e702 |
completed | May 18, 2026, 2:43 p.m. |
Created at: April 16, 2026, 8:51 p.m.