Triple
T2717876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo Antropológico P. Sebastián Englert |
E60009
|
entity |
| Predicate | specialCollection |
P35799
|
FINISHED |
| Object | rongorongo inscriptions |
—
|
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: rongorongo inscriptions | Statement: [Museo Antropológico P. Sebastián Englert, specialCollection, rongorongo inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialCollection Context triple: [Museo Antropológico P. Sebastián Englert, specialCollection, rongorongo inscriptions]
-
A.
specialEdition
Indicates that an item is a distinct, limited, or enhanced version of a standard release, often with unique features, packaging, or content.
-
B.
specialFeature
Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
-
C.
hasSpecialCollections
chosen
Indicates that an entity possesses or maintains distinct, curated collections that are set apart from its general holdings.
-
D.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
E.
specialComposition
Indicates that one entity is composed of another in a distinctive or non-standard way, highlighting a particular or exceptional form of composition between them.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaad577c8190819d3c641c2406f4 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.