Triple
T23702972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lerma–Santiago–Pacific hydrological region |
E585641
|
entity |
| Predicate | hasComponentRiver |
P165
|
FINISHED |
| Object | Lerma River |
—
|
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: Lerma River | Statement: [Lerma–Santiago–Pacific hydrological region, hasComponentRiver, Lerma River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentRiver Context triple: [Lerma–Santiago–Pacific hydrological region, hasComponentRiver, Lerma River]
-
A.
hasRiver
chosen
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
B.
hasRiverineCharacteristic
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
C.
hasRiverCode
Indicates that a river is associated with a specific identifying code or classification value.
-
D.
hasSettlementOnRiver
Indicates that a settlement is located on or directly adjacent to a specific river.
-
E.
hasAncestralRiver
Indicates that an entity is associated with or originates from a river regarded as its ancestral or traditional source.
- F. None of above.
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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b684e0a88190b7edeb102585ae9d |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.