Triple
T8799293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petroglyphs of Coso Rock Art District (on NAWS China Lake) |
E209360
|
entity |
| Predicate | numberOfPetroglyphs |
P84691
|
FINISHED |
| Object | tens of thousands |
—
|
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: tens of thousands | Statement: [Petroglyphs of Coso Rock Art District (on NAWS China Lake), numberOfPetroglyphs, tens of thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPetroglyphs Context triple: [Petroglyphs of Coso Rock Art District (on NAWS China Lake), numberOfPetroglyphs, tens of thousands]
-
A.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
-
B.
numberOfRockArtSites
Indicates the count of rock art sites associated with a given subject or context.
-
C.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
D.
hasRockCarvingsFrom
Indicates that something contains or features rock carvings that originate from a specified source, place, or period.
-
E.
numberOfArchaeologicalSites
Indicates the total count of archaeological sites associated with a given entity or context.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb7491c8190bcdb98d6cc003d9e |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:44 p.m.