Triple
T19418669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plum, Pennsylvania |
E485786
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Plum Creek |
—
|
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: Plum Creek | Statement: [Plum, Pennsylvania, locatedOn, Plum Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plum Creek Context triple: [Plum, Pennsylvania, locatedOn, Plum Creek]
-
A.
Plum Creek
Plum Creek is a stream in central Texas known for its historical significance in early Texas frontier conflicts and settlement.
-
B.
Plum Creek
Plum Creek is a smaller stream in North America that serves as a tributary feeding into the Souris River.
-
C.
Plum Creek
chosen
Plum Creek is a waterway in Pennsylvania historically significant enough to lend its name to the nearby borough of Plum.
-
D.
Skunk Creek
Skunk Creek is a smaller stream in the north-central United States that serves as a tributary feeding into the Big Sioux River.
-
E.
Banning Creek
Banning Creek is a stream in Arizona that serves as the primary inflow to Goldwater Lake near Prescott.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afbaf0c8190913eda4b04efbe67 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.