Triple
T17156630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pichinglis |
E416358
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Pichi |
E295926
|
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: Pichi | Statement: [Pichinglis, alternateName, Pichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pichi Context triple: [Pichinglis, alternateName, Pichi]
-
A.
Pichi
chosen
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
-
B.
Polillo
Polillo is a coastal island municipality in the province of Quezon, Philippines, known for its rich marine biodiversity and relatively remote, rural character.
-
C.
Pato
Pato is a Galician musician and educator best known internationally as a virtuoso gaita (Galician bagpipe) player and collaborator with jazz and classical ensembles.
-
D.
Pato
Pato is the stage name of Patrice Wilson, a Nigerian-American music producer and songwriter best known for creating viral pop songs such as Rebecca Black’s “Friday.”
-
E.
Pato
Pato is the nickname for the Talgo 350, a high-speed Spanish train known for its distinctive duck-bill-shaped nose and use on AVE services.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40bf9ec8190b16372bcd091db9b |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415f3cd481908e96ca294cf3b247 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:37 a.m.