Triple
T16821653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodland Street Branch |
E408907
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Park River |
E83947
|
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: Park River | Statement: [Woodland Street Branch, partOf, Park River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park River Context triple: [Woodland Street Branch, partOf, Park River]
-
A.
Park River
chosen
Park River is a small urban river in Hartford, Connecticut, much of which now flows through underground conduits beneath the city.
-
B.
Banning Creek
Banning Creek is a stream in Arizona that serves as the primary inflow to Goldwater Lake near Prescott.
-
C.
Plum Creek
Plum Creek is a stream in central Texas known for its historical significance in early Texas frontier conflicts and settlement.
-
D.
Drift Creek
Drift Creek is a river in Lincoln County, Oregon, known for flowing through coastal forest landscapes and supporting local recreation and wildlife habitats.
-
E.
Snow Creek
Snow Creek is a small ski and snowboard resort known for its winter sports facilities and family-friendly atmosphere.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.