Triple
T9948404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Longhorn cattle |
E195264
|
entity |
| Predicate | hornSpanRange |
P91312
|
FINISHED |
| Object | up to about 7 feet tip to tip in cows |
—
|
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: up to about 7 feet tip to tip in cows | Statement: [Texas Longhorn cattle, hornSpanRange, up to about 7 feet tip to tip in cows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hornSpanRange Context triple: [Texas Longhorn cattle, hornSpanRange, up to about 7 feet tip to tip in cows]
-
A.
hostRange
Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
-
B.
hasBandRange
Indicates that one entity has an associated range or span of bands (such as frequency or wavelength intervals) defined by the other entity.
-
C.
archSpan
Indicates the distance or extent between the supports of an arch, typically measured horizontally from one side to the other.
-
D.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
-
E.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb659307c81908279adb641ceef86 |
completed | April 2, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:45 p.m.