Triple
T16277617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Junction |
E395173
|
entity |
| Predicate | servedArea |
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: [Wayne Junction, servedArea, Tioga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tioga Context triple: [Wayne Junction, servedArea, 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.
Great Giewont
Great Giewont is a prominent peak in Poland’s Tatra Mountains, known for its distinctive silhouette overlooking the town of Zakopane and its large summit cross.
-
D.
Quiririm
Quiririm is a district of Taubaté in the state of São Paulo, Brazil, known for its strong Italian immigrant heritage and traditional cultural festivals.
-
E.
Camischolas
Camischolas is a small village in the Swiss canton of Graubünden, situated within the municipality of Sumvitg in the Surselva region.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460f73648190b5c931f2ba2a09da |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c2b9688190b96d62d83a03f158 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.