Triple
T27896415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongqing–Lichuan Railway |
E705504
|
entity |
| Predicate | formsConnectionWith |
P845
|
FINISHED |
| Object | other national rail lines in Chongqing |
—
|
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: other national rail lines in Chongqing | Statement: [Chongqing–Lichuan Railway, formsConnectionWith, other national rail lines in Chongqing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsConnectionWith Context triple: [Chongqing–Lichuan Railway, formsConnectionWith, other national rail lines in Chongqing]
-
A.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
B.
connectsWorks
Indicates a relationship where one work serves to link, bridge, or associate two or more other works.
-
C.
formsLinkIn
Indicates that one entity creates or establishes a connection or linkage within another entity or structure.
-
D.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
helpedConnect
Indicates that one entity assisted in establishing or facilitating a connection or relationship between two or more other entities.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 6:39 p.m.