Triple
T6626133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindy |
E149804
|
entity |
| Predicate | spellingVariant |
P457
|
FINISHED |
| Object | Lindi |
E153031
|
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: Lindi | Statement: [Lindy, spellingVariant, Lindi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindi Context triple: [Lindy, spellingVariant, Lindi]
-
A.
Lindi
chosen
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
-
B.
Matsigenka
The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
-
C.
Kinigi
Kinigi is a village in northern Rwanda that serves as the primary gateway and base for visitors exploring Volcanoes National Park and its mountain gorillas.
-
D.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
E.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa0feb0819099629c0fba590a05 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44d356c8190ad4f2a617c3de4af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.