Triple
T24832049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waiwai |
E621365
|
entity |
| Predicate | mainAreaInGuyana |
P158736
|
FINISHED |
| Object | southern Guyana |
—
|
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: southern Guyana | Statement: [Waiwai, mainAreaInGuyana, southern Guyana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAreaInGuyana Context triple: [Waiwai, mainAreaInGuyana, southern Guyana]
-
A.
mainAreaInBrazil
Indicates that a given area or region is the primary or most significant area located within Brazil for a specified entity or context.
-
B.
mainRegionsInVenezuela
Indicates the primary geographic regions that are located within the country of Venezuela.
-
C.
sharesGuianaShield
Indicates that two entities are both located on, or geologically underlain by, the Guiana Shield region.
-
D.
ianaArea
Indicates that one entity is associated with, or falls within, a specific IANA-defined geographic or administrative area represented by the other entity.
-
E.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 5:16 a.m.