Triple
T23737371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTK |
E586573
|
entity |
| Predicate | timeToFixAmbiguities |
P153478
|
FINISHED |
| Object | typically seconds to tens of seconds |
—
|
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: typically seconds to tens of seconds | Statement: [RTK, timeToFixAmbiguities, typically seconds to tens of seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToFixAmbiguities Context triple: [RTK, timeToFixAmbiguities, typically seconds to tens of seconds]
-
A.
languageAmbiguity
Indicates that the meaning, interpretation, or reference of a linguistic expression is unclear or can be understood in multiple ways.
-
B.
requiresDisambiguationIn
Indicates that an entity is ambiguous and needs clarification or distinction specifically within the context of a given language, domain, or environment.
-
C.
ambiguity
Indicates that there is uncertainty, vagueness, or multiple possible interpretations in the relationship or action between entities.
-
D.
requiresDisambiguationFrom
Indicates that one entity needs to be distinguished or clarified in relation to another similar or potentially confusing entity.
-
E.
largelyFixedBy
Indicates that one entity’s issues, state, or characteristics are mostly resolved, determined, or constrained by another entity.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:10 p.m.