Triple
T12267134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Broad Street |
E292375
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Tioga |
E762479
|
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: Tioga | Statement: [North Broad Street, servesNeighborhood, Tioga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tioga Context triple: [North Broad Street, servesNeighborhood, Tioga]
-
A.
Tioga
Tioga is a small town in Grayson County, Texas, known for its rural character and tight-knit community.
-
B.
Tioga
chosen
Tioga is a town in Tioga County, New York, known for its rural character and location in the Southern Tier region of the state.
-
C.
Camischolas
Camischolas is a small village in the Swiss canton of Graubünden, situated within the municipality of Sumvitg in the Surselva region.
-
D.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
E.
Giant Mountain
Giant Mountain is a prominent peak in New York’s Adirondack High Peaks, known for its steep trails and expansive views over the surrounding wilderness.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdd7b3c8190afd237cd9b633d4d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6799088190a5644267733ca2e5 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.