Triple
T2685488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wahclella Falls |
E57473
|
entity |
| Predicate | hasUpperTier |
P41507
|
FINISHED |
| Object | narrow chute |
—
|
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: narrow chute | Statement: [Wahclella Falls, hasUpperTier, narrow chute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperTier Context triple: [Wahclella Falls, hasUpperTier, narrow chute]
-
A.
hasLowerTier
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
B.
higherTierAuthority
Indicates that one entity holds a superior or higher-ranking level of authority or control over another entity.
-
C.
hasTierName
Indicates that an entity is associated with a specific tier by its name.
-
D.
hasUpperFloor
Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
-
E.
topTierUntil
Indicates that an entity holds a top-tier or highest-status position only up to a specified point in time, after which this status no longer applies.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.