Triple
T10989794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North End |
E259726
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Waterfront |
E130426
|
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: Waterfront | Statement: [North End, adjacentTo, Waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterfront Context triple: [North End, adjacentTo, Waterfront]
-
A.
Waterfront
chosen
The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
-
B.
Waterfront
"Waterfront" is a 1939 American crime drama film starring Preston Foster, set against a gritty dockside backdrop of labor strife and personal conflict.
-
C.
Waterfront
"Waterfront" is a 1983 rock song by Scottish band Simple Minds, known for its driving bassline and anthemic, atmospheric sound.
-
D.
American Waterfront
American Waterfront is a themed port area at Tokyo DisneySea that recreates early 20th-century American coastal cities, featuring elaborate architecture, attractions, and entertainment.
-
E.
Fairwater
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b6d0b48190aaf959e2609d34e5 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.