Triple
T27348034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homo floresiensis |
E684280
|
entity |
| Predicate | numberOfIndividualsRepresented |
P197949
|
FINISHED |
| Object | at least 9 |
—
|
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: at least 9 | Statement: [Homo floresiensis, numberOfIndividualsRepresented, at least 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIndividualsRepresented Context triple: [Homo floresiensis, numberOfIndividualsRepresented, at least 9]
-
A.
numberOfNGOsRepresented
Indicates the count of distinct non-governmental organizations that are represented in a given context or entity.
-
B.
memberAssociationsRepresented
Indicates that one entity represents or acts on behalf of the associations to which a member belongs.
-
C.
numberOfIndictedPersonsApproximate
Indicates an approximate count of persons who have been formally indicted in a given context or case.
-
D.
numberOfCommunitiesRepresented
Indicates the count of distinct communities that are represented in relation to a given entity or context.
-
E.
organizationRepresentedTo
Indicates that one entity formally acts on behalf of or serves as the representative of an organization in a given context or interaction.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_69febce420b081908e1c052751a22b1f |
completed | May 9, 2026, 4:49 a.m. |
Created at: April 27, 2026, 11:46 a.m.