Triple
T12097824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moai statues |
E288114
|
entity |
| Predicate | numberOfStatuesAtRanoRaraku |
P22479
|
FINISHED |
| Object | about 400 |
—
|
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 400 | Statement: [Moai statues, numberOfStatuesAtRanoRaraku, about 400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStatuesAtRanoRaraku Context triple: [Moai statues, numberOfStatuesAtRanoRaraku, about 400]
-
A.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
-
B.
hasRockCarvingsFrom
Indicates that something contains or features rock carvings that originate from a specified source, place, or period.
-
C.
numberOfSculptures
chosen
Indicates the quantity of sculptures associated with a given entity or context.
-
D.
numberOfPetroglyphs
Indicates the quantity of petroglyphs associated with a given subject or location.
-
E.
numberOfRockArtSites
Indicates the count of rock art sites associated with a given subject or context.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.