Triple
T28052963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro Line 11 |
E708876
|
entity |
| Predicate | plannedToInterchangeWith |
P98214
|
FINISHED |
| Object | Guangzhou Metro Line 1 |
—
|
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: Guangzhou Metro Line 1 | Statement: [Guangzhou Metro Line 11, plannedToInterchangeWith, Guangzhou Metro Line 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedToInterchangeWith Context triple: [Guangzhou Metro Line 11, plannedToInterchangeWith, Guangzhou Metro Line 1]
-
A.
hasInterchangesWith
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
B.
hasNearbyInterchange
Indicates that one location has a transportation interchange (such as a junction or transfer point) situated close to it.
-
C.
hasInterchangeStationWith
chosen
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
-
D.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
E.
plannedTransit
Indicates that a transit or trip has been scheduled or arranged to occur, but has not yet taken place.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 8:34 p.m.