Triple
T5298330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pichu Pichu |
E119910
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Pichu Pichu Chico |
E119910
|
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: Pichu Pichu Chico | Statement: [Pichu Pichu, hasPeak, Pichu Pichu Chico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pichu Pichu Chico Context triple: [Pichu Pichu, hasPeak, Pichu Pichu Chico]
-
A.
Pichu Pichu
chosen
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
-
B.
Pichatur
Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
-
C.
Pichu
Pichu is a small, baby Electric-type Pokémon known as the pre-evolved form of Pikachu, often depicted as playful and inexperienced with its own electricity.
-
D.
Pichi
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
-
E.
La Quica
La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8506a90c8190bf311f280a061d1a |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2907e4cc8190a25f457c17c747ff |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:53 p.m.