Triple
T8341944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegithalidae |
E195937
|
entity |
| Predicate | tailProportion |
P63385
|
FINISHED |
| Object | tail often longer than body length |
—
|
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: tail often longer than body length | Statement: [Aegithalidae, tailProportion, tail often longer than body length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailProportion Context triple: [Aegithalidae, tailProportion, tail often longer than body length]
-
A.
tailLengthObserved
Indicates that an observation has been made recording the length of an entity’s tail.
-
B.
tailCharacteristic
chosen
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
C.
tailConfiguration
Indicates how the tail of an entity is arranged, structured, or positioned relative to the rest of that entity.
-
D.
headProportion
Indicates the proportional relationship between the size of an entity’s head and a reference measure, such as its body or overall height.
-
E.
hasProportion
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe9efec81908e0c9ded3963bac5 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.