Triple
T36251850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cahuapanan–Jivaroan hypothesis |
E891822
|
entity |
| Predicate | hasUncertainValidity |
P193749
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cahuapanan–Jivaroan hypothesis, hasUncertainValidity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncertainValidity Context triple: [Cahuapanan–Jivaroan hypothesis, hasUncertainValidity, true]
-
A.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
B.
hasUncertainForm
Indicates that the form or structure of something is not clearly defined, fixed, or confidently known.
-
C.
hasUncertaintyReason
Indicates that there is a specific reason or explanation for why something is uncertain or not known with confidence.
-
D.
hasUncertainParameters
Indicates that the relationship or action involves parameters whose values, conditions, or characteristics are not fully known, fixed, or reliably determined.
-
E.
hasUncertainNature
Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: May 3, 2026, 4:09 p.m.