Triple
T19918592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorillas of the African Forest |
E478728
|
entity |
| Predicate | exhibitNameLanguage |
P3681
|
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: [Gorillas of the African Forest, exhibitNameLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitNameLanguage Context triple: [Gorillas of the African Forest, exhibitNameLanguage, English]
-
A.
hasLanguageOfExhibitions
Indicates that an entity uses a specified language for its exhibitions or exhibition-related content.
-
B.
expositionName
Indicates that an entity has the specified name or title of an exposition or exhibition event.
-
C.
presentedInLanguage
chosen
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
D.
exhibitFor
Indicates a relationship where something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
E.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
- 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_69e659c3d990819089386d9f30323e8c |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.