Triple
T1772295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydropotes inermis |
E38900
|
entity |
| Predicate | hasTailLengthRange |
P31709
|
FINISHED |
| Object | approximately 6–8 centimeters |
—
|
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: approximately 6–8 centimeters | Statement: [Hydropotes inermis, hasTailLengthRange, approximately 6–8 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTailLengthRange Context triple: [Hydropotes inermis, hasTailLengthRange, approximately 6–8 centimeters]
-
A.
hasTail
Indicates that an entity possesses a tail as a physical attribute.
-
B.
hasTrailLength
Indicates that an entity (such as a trail or route) has a specific measured length.
-
C.
hasLowerBarLength
Indicates that one entity’s bar length is shorter than the bar length of another entity.
-
D.
hasUpperBarLength
Indicates that an entity possesses an upper bar whose length is specified or constrained by the related value or object.
-
E.
hasTunnelLengthApprox
Indicates that an entity has a tunnel whose length is approximately a specified value.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab39faf69c8190bae98d3e3911078f |
completed | March 6, 2026, 8:32 p.m. |
Created at: March 4, 2026, 7:31 p.m.