Triple
T21380822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 69 |
E527348
|
entity |
| Predicate | connectsCommunity |
P12608
|
FINISHED |
| Object | Carmel |
—
|
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: Carmel | Statement: [Maine State Route 69, connectsCommunity, Carmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmel Context triple: [Maine State Route 69, connectsCommunity, Carmel]
-
A.
Carmel
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
-
B.
Carmel
"Carmel" is a smooth jazz album by pianist and composer Joe Sample, noted for its melodic fusion of jazz, soul, and pop influences.
-
C.
Carmel
chosen
Carmel is a small town in Penobscot County, Maine, known for its rural character and role as a residential community within the greater Bangor–Penobscot Valley region.
-
D.
Carmel, Indiana
Carmel, Indiana is a rapidly growing suburban city north of Indianapolis known for its affluent communities, extensive roundabout system, and vibrant arts and business districts.
-
E.
Carmel, New York
Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cec99881908481d0b08df358a8 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.