Triple
T32161994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guaicuruan languages |
E821451
|
entity |
| Predicate | primaryCountriesToday |
P48279
|
FINISHED |
| Object | Argentina |
E5383
|
NE 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: Argentina | Statement: [Guaicuruan languages, primaryCountriesToday, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCountriesToday Context triple: [Guaicuruan languages, primaryCountriesToday, Argentina]
-
A.
presentDayCountryOfTerritory
Indicates the modern sovereign country that currently governs or contains the referenced territory.
-
B.
collectionCountry
Indicates the country in which an item, specimen, or data was collected.
-
C.
mainCountry
chosen
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
D.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
E.
countryStart
Indicates that an entity marks the beginning or starting point of a country-related extent, boundary, or association.
- F. None of above.
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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46c0871881908373cb7794f55604 |
completed | June 15, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:32 a.m.