Triple
T22441803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengdu Metro Line 1 |
E554769
|
entity |
| Predicate | firstPhaseTerminusSouth |
P148214
|
FINISHED |
| Object | Sihe station |
—
|
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: Sihe station | Statement: [Chengdu Metro Line 1, firstPhaseTerminusSouth, Sihe station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPhaseTerminusSouth Context triple: [Chengdu Metro Line 1, firstPhaseTerminusSouth, Sihe station]
-
A.
terminusSouthNear
Indicates that the southern end or terminus of one entity is located close to another entity.
-
B.
terminusSouthState
Indicates that the southern endpoint or terminus of an entity (such as a route or line) is located in a specified state.
-
C.
phase2Terminus
Indicates that an entity serves as the endpoint or final state of a second phase in a multi-phase process or sequence.
-
D.
terminusSouthConnection
Indicates a connection where one entity serves as the southern terminus or endpoint of another entity.
-
E.
hasSouthernTerminus
Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.