Triple
T34057639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petroglyph Point |
E873404
|
entity |
| Predicate | approximateNumberOfPetroglyphs |
P84691
|
FINISHED |
| Object | thousands of individual carvings |
—
|
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: thousands of individual carvings | Statement: [Petroglyph Point, approximateNumberOfPetroglyphs, thousands of individual carvings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfPetroglyphs Context triple: [Petroglyph Point, approximateNumberOfPetroglyphs, thousands of individual carvings]
-
A.
numberOfPetroglyphs
chosen
Indicates the quantity of petroglyphs associated with a given subject or location.
-
B.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
-
C.
approximateLatestPetroglyphDate
Indicates the estimated most recent date at which the petroglyphs were created or modified.
-
D.
timePeriodOfMostPetroglyphs
Indicates the time period during which the largest number of petroglyphs were created or are dated.
-
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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: May 1, 2026, 1:52 a.m.