Triple
T774946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terevaka |
E16366
|
entity |
| Predicate | isYoungestOf |
P19639
|
FINISHED |
| Object | three main volcanoes of Easter Island |
—
|
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: three main volcanoes of Easter Island | Statement: [Terevaka, isYoungestOf, three main volcanoes of Easter Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isYoungestOf Context triple: [Terevaka, isYoungestOf, three main volcanoes of Easter Island]
-
A.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
B.
isOldestOrderOf
Indicates that one order is the earliest or first created among a set of related orders for a given context or entity.
-
C.
onlySurvivingChildOf
Indicates that one person is the sole remaining living child of another person, with no other surviving siblings.
-
D.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
E.
hasLowerAge
Indicates that one entity is younger in age than another entity.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a74c81bc81909f4ac9c1677b09c2 |
completed | March 1, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:37 p.m.