Triple
T7119869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HS1 Ltd |
E165920
|
entity |
| Predicate | hasLineLengthUnit |
P28578
|
FINISHED |
| Object | kilometres |
—
|
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: kilometres | Statement: [HS1 Ltd, hasLineLengthUnit, kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLineLengthUnit Context triple: [HS1 Ltd, hasLineLengthUnit, kilometres]
-
A.
hasLineLength
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
-
B.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
C.
hasUnitOf
chosen
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
D.
properLengthMeasuredIn
Indicates that the proper (intrinsic or rest-frame) length of an entity is expressed using a specified unit of measurement.
-
E.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61ca6a88190a0eb9f287e3b723c |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.