Triple
T24091870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omagua–Cocama subgroup |
E596805
|
entity |
| Predicate | spokenInPastAlong |
P155047
|
FINISHED |
| Object | Amazon 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: Amazon River | Statement: [Omagua–Cocama subgroup, spokenInPastAlong, Amazon River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInPastAlong Context triple: [Omagua–Cocama subgroup, spokenInPastAlong, Amazon River]
-
A.
spokenInPastTense
Indicates that an action or event is expressed using a past-tense verb form in speech or writing.
-
B.
usedInPastFor
Indicates that one entity was previously utilized for another entity or purpose in the past.
-
C.
usedInPastBy
Indicates that an entity was previously utilized or employed by another entity at some time in the past.
-
D.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
-
E.
spokenUntil
Indicates that an act of speaking or verbal communication continues up to a specific time or event and then stops.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd20134881908b9ba6069a708a92 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 10:53 p.m.