Triple
T13592906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llano Tugrí |
E324736
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Ngäbere |
E10726
|
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: Ngäbere | Statement: [Llano Tugrí, languageUsed, Ngäbere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngäbere Context triple: [Llano Tugrí, languageUsed, Ngäbere]
-
A.
Ngäbere
chosen
Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
-
B.
Berar
Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
-
C.
Bereina
Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
-
D.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Bevergern
Bevergern is a small town in North Rhine-Westphalia, Germany, known historically as the birthplace of Nazi SA leader Viktor Lutze.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.