Triple
T27149025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valhalla impact structure |
E682331
|
entity |
| Predicate | centralZoneDiameter |
P175221
|
FINISHED |
| Object | approximately 600 kilometers |
—
|
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: approximately 600 kilometers | Statement: [Valhalla impact structure, centralZoneDiameter, approximately 600 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralZoneDiameter Context triple: [Valhalla impact structure, centralZoneDiameter, approximately 600 kilometers]
-
A.
centralBlockDimensions
Indicates the dimensions (such as height, width, and depth) of a central block within a larger structure or system.
-
B.
centralArchWidth
Indicates the measured width of the central arch in a structure or object.
-
C.
arenaDiameter
Indicates the diameter measurement of an arena, typically the straight-line distance across it through its center.
-
D.
coreZoneArea
Indicates the area or spatial extent of a designated core zone within a larger region or system.
-
E.
bodyDiameter
Indicates the measurement of how wide an object's body is across its broadest cross-section.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 27, 2026, 9:13 a.m.