Triple
T62141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | golden eagle |
E1234
|
entity |
| Predicate | wingspan |
P4571
|
FINISHED |
| Object | 1.8–2.34 m |
—
|
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: 1.8–2.34 m | Statement: [golden eagle, wingspan, 1.8–2.34 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingspan Context triple: [golden eagle, wingspan, 1.8–2.34 m]
-
A.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
B.
nationalBird
Indicates that one entity is officially designated as the national bird or avian symbol of another entity (typically a country or region).
-
C.
womenWing
Indicates a relationship where a woman is associated with or positioned at the wing (side section) of a structure, group, or setting.
-
D.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
E.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a251f6786081908eaaed6190695322 |
completed | Feb. 28, 2026, 2:24 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.