Triple
T23881479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 138 |
E600212
|
entity |
| Predicate | hasSeparatedSections |
P154322
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Route 138, hasSeparatedSections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparatedSections Context triple: [Route 138, hasSeparatedSections, true]
-
A.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
B.
hasVerticalSection
Indicates that one entity possesses or includes a distinct vertical section or segment as part of its structure or representation.
-
C.
hasRemainingSections
Indicates that an entity still has one or more sections that are not yet completed, processed, or consumed.
-
D.
hasGlobalSectionsIn
Indicates that a mathematical object admits global sections when considered over a specified space or context.
-
E.
hasCollectionSection
Indicates that an entity includes or is organized into a specific section within a larger collection.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc05e4d48190864fc47bdffa4ca9 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:24 p.m.