Triple
T321334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archaea |
E6420
|
entity |
| Predicate | GCContent |
P11987
|
FINISHED |
| Object | variable |
—
|
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: variable | Statement: [Archaea, GCContent, variable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GCContent Context triple: [Archaea, GCContent, variable]
-
A.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
B.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
C.
GoldenRecordContent
Indicates that an entity represents the canonical, authoritative version of content used as the single source of truth across systems or records.
-
D.
regionSpecificContent
Indicates that certain content is tailored, restricted, or applicable only to a particular geographic region or set of regions.
-
E.
definedEagleGoldContent
Indicates that a specific standard or value has been established for the gold content of an eagle (gold coin) in the relationship.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.