Triple
T26233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tear of the Clouds |
E524
|
entity |
| Predicate | historicallyRecognizedAs |
P1558
|
FINISHED |
| Object | highest-elevation source of the Hudson River |
—
|
LITERAL 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: highest-elevation source of the Hudson River | Statement: [Lake Tear of the Clouds, historicallyRecognizedAs, highest-elevation source of the Hudson River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyRecognizedAs Context triple: [Lake Tear of the Clouds, historicallyRecognizedAs, highest-elevation source of the Hudson River]
-
A.
historicallyPrizedFor
Indicates that something has been especially valued or esteemed for a particular quality, use, or significance in the past.
-
B.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
C.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
D.
formerName
Indicates that an entity was previously known by a different name in the past.
-
E.
historicallyImplementedAs
Indicates that one entity was used or realized as another entity in the past, even if that is no longer the case.
- F. None of above. chosen
Provenance (4 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246d794448190bb2844fcd0538eaa |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24657635881908f3415bc1bdfa1b5 |
completed | Feb. 28, 2026, 1:35 a.m. |
| PDg | Predicate description generation | batch_69a246d6aca88190a86b7c41d497bacd |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.