Triple
T19915220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inuksuit |
E478646
|
entity |
| Predicate | languageOfPerformanceDirections |
P103329
|
FINISHED |
| Object | English |
—
|
LITERAL 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: English | Statement: [Inuksuit, languageOfPerformanceDirections, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPerformanceDirections Context triple: [Inuksuit, languageOfPerformanceDirections, English]
-
A.
languageOfInstructions
Indicates that one entity specifies the language in which instructions or guidance are provided for another entity.
-
B.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
-
C.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
D.
performedLanguage
Indicates that an action, work, or performance was carried out using a specified language.
-
E.
languageOfCues
chosen
Indicates the language in which the cues (such as prompts, hints, or signals) are expressed.
- F. None of above.
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6599394f081909246006c2e83bacc |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.