Triple
T16289142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papago |
E395471
|
entity |
| Predicate | exonym |
P4705
|
FINISHED |
| Object | Papago |
E395471
|
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: Papago | Statement: [Papago, exonym, Papago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papago Context triple: [Papago, exonym, Papago]
-
A.
Papago
chosen
Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
-
B.
Naver Papago
Naver Papago is a neural machine translation service developed by South Korean internet company Naver, offering multilingual text and image translation across web and mobile platforms.
-
C.
Google Translate
Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
-
D.
Yandex Translate
Yandex Translate is an online machine translation service by Yandex that supports multiple languages for text, website, and document translation.
-
E.
Everglot
Everglot is the aristocratic family surname of Victoria in Tim Burton’s animated film "Corpse Bride."
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f94ede48190835e8a0c6f5d0f19 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.