Triple
T27210309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asgard impact structure |
E683979
|
entity |
| Predicate | ringCountApproximate |
P4094
|
FINISHED |
| Object | multiple concentric rings (more than two) |
—
|
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: multiple concentric rings (more than two) | Statement: [Asgard impact structure, ringCountApproximate, multiple concentric rings (more than two)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ringCountApproximate Context triple: [Asgard impact structure, ringCountApproximate, multiple concentric rings (more than two)]
-
A.
numberOfRings
chosen
Indicates the quantity of rings associated with an entity.
-
B.
ringNumber
Indicates that an entity is assigned a specific ring identifier or position number within a ring-structured system or sequence.
-
C.
lapCountApproximate
Indicates that the recorded number of laps is an estimate rather than an exact, precise count.
-
D.
ringSize
Indicates the size or measurement of a ring associated with an entity.
-
E.
sectorCountApprox
Indicates that the number of sectors involved is an approximate or estimated count rather than an exact value.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e8342c8190a809bfb169967a89 |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 9:39 a.m.