Triple
T27505629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradoxornithidae |
E694270
|
entity |
| Predicate | typicalTailDescription |
P63385
|
FINISHED |
| Object | often long-tailed |
—
|
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: often long-tailed | Statement: [Paradoxornithidae, typicalTailDescription, often long-tailed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTailDescription Context triple: [Paradoxornithidae, typicalTailDescription, often long-tailed]
-
A.
tailCharacteristic
chosen
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
B.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
C.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
typicalOnsetDescription
Indicates the usual or characteristic way in which a condition, event, or process begins or first presents itself.
-
E.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
- 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: April 27, 2026, 1:13 p.m.