Triple
T29688078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java rail network |
E751139
|
entity |
| Predicate | firstSectionRoute |
P203113
|
FINISHED |
| Object | Semarang–Tanggung |
—
|
NE NERFINISHED |
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: Semarang–Tanggung | Statement: [Java rail network, firstSectionRoute, Semarang–Tanggung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSectionRoute Context triple: [Java rail network, firstSectionRoute, Semarang–Tanggung]
-
A.
firstRoutes
Indicates that one route or path is the initial or primary route taken or assigned among a set of possible routes.
-
B.
firstSectionOpened
Indicates that the initial section in a sequence or structure has been opened or activated.
-
C.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
-
D.
primaryRouteFrom
Indicates that one entity serves as the main or preferred route originating from another entity.
-
E.
firstPage
Indicates that one entity is the first page or initial section in the ordered sequence of pages of 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a0123d1162c81908182d01ba3ddd236 |
completed | May 11, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_6a01236713d88190b12a567c0dfb2d49 |
completed | May 11, 2026, 12:31 a.m. |
| PDg | Predicate description generation | batch_6a0123cff0e481909c938428fbfe76a6 |
completed | May 11, 2026, 12:33 a.m. |
Created at: April 28, 2026, 7:15 p.m.