Triple
T12534806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | global mid-ocean ridge system |
E299659
|
entity |
| Predicate | hasAlternativeLengthEstimate |
P105764
|
FINISHED |
| Object | about 60000 km |
—
|
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: about 60000 km | Statement: [global mid-ocean ridge system, hasAlternativeLengthEstimate, about 60000 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeLengthEstimate Context triple: [global mid-ocean ridge system, hasAlternativeLengthEstimate, about 60000 km]
-
A.
hasAlternativeHypothesisLocation
Indicates that there is another possible location proposed as an alternative to the primary hypothesized location.
-
B.
hasAlternativeMIC
Indicates that an entity is associated with an alternative minimum inhibitory concentration (MIC) value, representing a different measured or applicable MIC than the primary one.
-
C.
hasAlternateCut
Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
-
D.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
E.
hasAlternativeSpacing
Indicates that an entity is associated with one or more alternative ways of spacing its characters or components compared to a primary or standard form.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.