Triple
T382716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial double-headed eagle of Russia |
E8714
|
entity |
| Predicate | hasHeadCount |
P10694
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Imperial double-headed eagle of Russia, hasHeadCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadCount Context triple: [Imperial double-headed eagle of Russia, hasHeadCount, 2]
-
A.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
B.
hasSeedCount
Indicates that an entity possesses a specific number of seeds.
-
C.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
D.
hasHoleCount
Indicates that an entity possesses a specified number of holes.
-
E.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.