Triple
T19402489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laconia |
E485363
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Downtown Laconia |
—
|
NE NERFINISHED |
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: Downtown Laconia | Statement: [Laconia, contains, Downtown Laconia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Laconia Context triple: [Laconia, contains, Downtown Laconia]
-
A.
Downtown Laconia
chosen
Downtown Laconia is the central commercial and cultural district of Laconia, New Hampshire, featuring local shops, restaurants, and historic buildings.
-
B.
Downtown Concord
Downtown Concord is the central commercial and cultural hub of Concord, California, featuring shops, restaurants, entertainment venues, and community events.
-
C.
Loring
Loring is a surname most notably associated with American singer and actress Gloria Loring.
-
D.
Loring
Loring is a small unincorporated community and former cannery town in the Ketchikan Gateway Borough of southeastern Alaska, known for its historic waterfront and scenic coastal setting.
-
E.
Concord town center
Concord town center is the historic and commercial heart of Concord, Massachusetts, known for its colonial architecture, literary heritage, and proximity to key American Revolutionary War sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577f808819099e74feab82b34a4 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.