Triple
T10085654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatun Dam |
E215212
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Gatún |
E41866
|
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: Gatún | Statement: [Gatun Dam, namedAfter, Gatún]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatún Context triple: [Gatun Dam, namedAfter, Gatún]
-
A.
Gatun Dam
Gatun Dam is a large earth-fill dam in Panama that created Gatun Lake and plays a crucial role in the operation of the Panama Canal.
-
B.
Gatun Lake
chosen
Gatun Lake is a large artificial freshwater lake in central Panama that forms a major part of the Panama Canal’s shipping route across the Isthmus of Panama.
-
C.
Gatun Locks
Gatun Locks is a major lock complex on the Panama Canal that raises and lowers ships between sea level and Gatun Lake as they transit the waterway.
-
D.
Chagres River
The Chagres River is a major river in Panama that plays a crucial role in supplying water to and enabling the operation of the Panama Canal.
-
E.
RadioGatún
RadioGatún is a cryptographic hash function and stream cipher designed by Joan Daemen (co-designer of AES and Keccak) and collaborators, known for its sponge-like structure and role in the evolution of modern hash function design.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3174109988190b703bb5b7c89c5c2 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9 p.m.