Triple
T2331968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guarani peoples |
E44221
|
entity |
| Predicate | struggle |
P3839
|
FINISHED |
| Object | land rights |
—
|
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: land rights | Statement: [Guarani peoples, struggle, land rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: struggle Context triple: [Guarani peoples, struggle, land rights]
-
A.
struggleFor
chosen
Indicates a relationship where one entity exerts effort or engages in conflict in order to obtain, achieve, or defend another entity or goal.
-
B.
fought
Indicates that one entity engaged in physical or armed conflict or combat against another entity.
-
C.
petition
Indicates that one entity formally requests or appeals to another entity, typically an authority, for a specific action or change.
-
D.
notableStruggles
Indicates that the subject has faced significant challenges, difficulties, or adversities that are especially noteworthy or defining.
-
E.
opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
- F. None of above.
Provenance (3 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.