Triple
T13543384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R55 |
E323447
|
entity |
| Predicate | connectsArea |
P2564
|
FINISHED |
| Object | Blue Hills |
E39675
|
NE FINISHED |
How this triple was built (2 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: Blue Hills | Statement: [R55, connectsArea, Blue Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Hills Context triple: [R55, connectsArea, Blue Hills]
-
A.
Blue Hills
chosen
Blue Hills is a neighborhood in the city of Hartford, Connecticut, known as a primarily residential community within the Hartford metropolitan area.
-
B.
Blue Hills
Blue Hills is a coastal settlement on the island of Providenciales in the Turks and Caicos Islands, known as one of its oldest communities.
-
C.
Blue Hills
Blue Hills is a community or neighborhood associated with the city of Provo, Utah.
-
D.
Blue Hill
Blue Hill is the English translation of the Spanish place name "Cerro Azul," commonly used to refer to locations characterized by a bluish-colored hill or mountain.
-
E.
Brewster Hill
Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da094288190aff108b006c3da1f |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.