Triple
T14999462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitu tuberosum |
E374044
|
entity |
| Predicate | hasBillCharacteristic |
P63803
|
FINISHED |
| Object | razor-shaped bill |
—
|
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: razor-shaped bill | Statement: [Mitu tuberosum, hasBillCharacteristic, razor-shaped bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBillCharacteristic Context triple: [Mitu tuberosum, hasBillCharacteristic, razor-shaped bill]
-
A.
hasBankCharacteristic
Indicates that a bank possesses a particular attribute, feature, or quality.
-
B.
billCharacteristic
Indicates that a bill possesses or is associated with a particular characteristic or attribute.
-
C.
hasCharge
Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
-
D.
hasTradeCharacteristic
Indicates that an entity possesses a specific trade-related attribute, quality, or feature.
-
E.
hasBillShape
chosen
Indicates that one entity has a bill whose shape matches the specified form or category.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.