Triple
T12165600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahu Akivi |
E289824
|
entity |
| Predicate | hasMoaiStyle |
P103106
|
FINISHED |
| Object | classic Rapa Nui moai style |
—
|
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: classic Rapa Nui moai style | Statement: [Ahu Akivi, hasMoaiStyle, classic Rapa Nui moai style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoaiStyle Context triple: [Ahu Akivi, hasMoaiStyle, classic Rapa Nui moai style]
-
A.
hasMoaiWithPukao
Indicates that something includes or features a moai statue that is specifically topped with a pukao (a stone hat or topknot).
-
B.
numberOfMoai
Indicates the quantity or count of Moai associated with a given subject.
-
C.
hasStationStyle
Indicates that one entity (typically a station) possesses or is characterized by a particular architectural or design style.
-
D.
hasMosaic
Indicates that one entity possesses, contains, or is decorated with a mosaic.
-
E.
hasMob
Indicates that an entity possesses, controls, or is associated with a particular mob or group of mobile agents.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916165c708190bf0745e125589f46 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.