Triple
T11169185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shipibo-Conibo |
E264230
|
entity |
| Predicate | hasAutonym |
P1435
|
FINISHED |
| Object | Shipibo-Konibo |
E264230
|
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: Shipibo-Konibo | Statement: [Shipibo-Conibo, hasAutonym, Shipibo-Konibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shipibo-Konibo Context triple: [Shipibo-Conibo, hasAutonym, Shipibo-Konibo]
-
A.
Shipibo-Conibo
chosen
The Shipibo-Conibo are an indigenous people of the Peruvian Amazon known for their rich shamanic traditions, intricate geometric art, and deep knowledge of rainforest ecology.
-
B.
Xilomantzin
Xilomantzin was a pre-Hispanic Nahua ruler who governed the altepetl (city-state) of Tlatelolco in the Valley of Mexico.
-
C.
Gorogoa
Gorogoa is a hand-illustrated, narrative puzzle video game known for its innovative panel-manipulation mechanics and seamless, story-driven visual design.
-
D.
Babbalanja
Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
-
E.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496d1ffa48190b29b4d4b71803564 |
completed | April 19, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:29 p.m.