Triple
T34738515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway No. 3 (Taiwan) |
E1001421
|
entity |
| Predicate | generalAlignment |
P181811
|
FINISHED |
| Object | western foothills of Taiwan |
—
|
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: western foothills of Taiwan | Statement: [National Highway No. 3 (Taiwan), generalAlignment, western foothills of Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalAlignment Context triple: [National Highway No. 3 (Taiwan), generalAlignment, western foothills of Taiwan]
-
A.
typicalAlignment
Indicates the usual or most common way in which two entities are positioned, oriented, or arranged relative to each other.
-
B.
themeAlignment
Indicates that one entity’s themes, motifs, or subject matter are conceptually consistent or in harmony with those of another entity.
-
C.
forceAlignment
Indicates that one entity compels another entity to match or conform its alignment, orientation, or position to its own or to a specified standard.
-
D.
alignmentGoal
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
-
E.
eraAlignment
Indicates that two entities are associated with, or correspond to, the same historical or temporal era.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 3, 2026, 3:59 p.m.