Triple
T16799267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petroglyph National Monument |
E408311
|
entity |
| Predicate | approximateLatestPetroglyphDate |
P124678
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Petroglyph National Monument, approximateLatestPetroglyphDate, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateLatestPetroglyphDate Context triple: [Petroglyph National Monument, approximateLatestPetroglyphDate, early 20th century]
-
A.
numberOfPetroglyphs
Indicates the quantity of petroglyphs associated with a given subject or location.
-
B.
approximateDepictionDate
Indicates the estimated or inferred date when a depiction was created, rather than a precise, confirmed date.
-
C.
lastKnownHieroglyphicInscriptionYear
Indicates the year in which the final or most recent known hieroglyphic inscription associated with an entity was created or recorded.
-
D.
earliestCarvingsDateFrom
Indicates the earliest known date from which the carvings are believed to originate.
-
E.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2abc430819080c1303eded5f416 |
completed | April 18, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326bac94481908c082117553320f8 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:22 a.m.