Triple
T20194259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hylian |
E493041
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Hylian language
Hylian language is a fictional script and set of languages used by the Hylian people in Nintendo’s The Legend of Zelda video game series.
|
E1416385
|
NE FINISHED |
How this triple was built (4 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: Hylian language | Statement: [Hylian, hasLanguage, Hylian language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hylian language Context triple: [Hylian, hasLanguage, Hylian language]
-
A.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
B.
Sora language
Sora language is an Austroasiatic language spoken primarily by the Sora (Saora) tribal communities in eastern India, especially in the states of Odisha and Andhra Pradesh.
-
C.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
-
D.
Kawi language
Kawi language is an Old Javanese literary and liturgical language of ancient Indonesia, historically used in inscriptions and classical texts across the region.
-
E.
Tabasaran language
The Tabasaran language is a Northeast Caucasian language spoken primarily in southern Dagestan, Russia, known for its complex phonology and rich case system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hylian language Triple: [Hylian, hasLanguage, Hylian language]
Generated description
Hylian language is a fictional script and set of languages used by the Hylian people in Nintendo’s The Legend of Zelda video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hylian language Target entity description: Hylian language is a fictional script and set of languages used by the Hylian people in Nintendo’s The Legend of Zelda video game series.
-
A.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
B.
Sora language
Sora language is an Austroasiatic language spoken primarily by the Sora (Saora) tribal communities in eastern India, especially in the states of Odisha and Andhra Pradesh.
-
C.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
-
D.
Kawi language
Kawi language is an Old Javanese literary and liturgical language of ancient Indonesia, historically used in inscriptions and classical texts across the region.
-
E.
Tabasaran language
The Tabasaran language is a Northeast Caucasian language spoken primarily in southern Dagestan, Russia, known for its complex phonology and rich case system.
- F. None of above. chosen
Provenance (5 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c885e788190888c76b925f290e0 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d20eb908190b82d668beed3789b |
completed | May 16, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e49d5988190b41e8ce5bcebeca5 |
completed | May 16, 2026, 9:52 a.m. |
Created at: April 11, 2026, 11:37 p.m.