Triple
T12285384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rongorongo tablets |
E292815
|
entity |
| Predicate | numberOfSurvivingSpecimens |
P104055
|
FINISHED |
| Object | about two dozen |
—
|
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: about two dozen | Statement: [Rongorongo tablets, numberOfSurvivingSpecimens, about two dozen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSurvivingSpecimens Context triple: [Rongorongo tablets, numberOfSurvivingSpecimens, about two dozen]
-
A.
hasLivingSpecimens
Indicates that there currently exist one or more living examples or instances of the related entity.
-
B.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
C.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
D.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
E.
hasOnlyLivingSpecies
Indicates that all species associated with an entity are currently living, with no extinct species included.
- F. None of above. chosen
Provenance (4 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d9261b7f088190b69fe6961015fce3 |
completed | April 10, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:52 p.m.