Triple
T9158869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Verde |
E219771
|
entity |
| Predicate | challengesModel |
P86846
|
FINISHED |
| Object | Clovis-first model |
—
|
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: Clovis-first model | Statement: [Monte Verde, challengesModel, Clovis-first model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: challengesModel Context triple: [Monte Verde, challengesModel, Clovis-first model]
-
A.
challengeType
Indicates the specific category or kind of challenge associated with an action or relationship between entities.
-
B.
currentChallenges
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
C.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
D.
challengedPractice
Indicates that one entity has questioned, disputed, or formally opposed the validity, appropriateness, or continuation of another entity’s practice or procedure.
-
E.
facedChallenges
Indicates that an entity has encountered and had to deal with difficulties, obstacles, or adverse conditions.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d805588190a0deadda1dd410a1 |
completed | April 1, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc668ad3d881908a8a93a6a1d553e4 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 7:21 p.m.