Triple
T10895380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baga Beach |
E257294
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Baga Creek |
E1114635
|
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: Baga Creek | Statement: [Baga Beach, hasNearbyWaterBody, Baga Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baga Creek Context triple: [Baga Beach, hasNearbyWaterBody, Baga Creek]
-
A.
Baga Creek
chosen
Baga Creek is a small tidal waterway in North Goa, India, that flows into the Arabian Sea near the popular tourist hub of Baga.
-
B.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
-
C.
Los Coches Creek
Los Coches Creek is a minor stream in San Diego County, California, that feeds into the San Diego River within the region’s inland watershed.
-
D.
Bull Creek
Bull Creek is a scenic stream in central Texas known for its limestone cliffs, swimming holes, and popular hiking and recreation areas near Austin.
-
E.
Tinemaha Creek
Tinemaha Creek is a stream in eastern California that feeds into the Owens River, contributing to the hydrology of the Owens Valley 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0683b90819098864f73b6976517 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 8, 2026, 9:21 p.m.