Triple
T2734356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suramadu Bridge |
E60592
|
entity |
| Predicate | hasPylons |
P32602
|
FINISHED |
| Object | two main pylons for cable-stayed section |
—
|
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: two main pylons for cable-stayed section | Statement: [Suramadu Bridge, hasPylons, two main pylons for cable-stayed section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPylons Context triple: [Suramadu Bridge, hasPylons, two main pylons for cable-stayed section]
-
A.
hasPylon
chosen
Indicates that one entity possesses, includes, or is equipped with a pylon as part of its structure or configuration.
-
B.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
-
C.
hasCentralPylonHeight
Indicates the height measurement of the central pylon in a structure or system.
-
D.
hasArmedWing
Indicates that an entity maintains, controls, or is associated with an organized armed or military wing.
-
E.
hasWings
Indicates that an entity possesses wings as physical appendages.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.