Triple
T26261091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Morang railway station |
E656847
|
entity |
| Predicate | hasPSOs |
P160175
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [South Morang railway station, hasPSOs, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPSOs Context triple: [South Morang railway station, hasPSOs, yes]
-
A.
hasPDS
Indicates that an entity possesses or is associated with a specific Product Data Sheet (PDS).
-
B.
hasPASystem
Indicates that an entity possesses or is equipped with a public address (PA) system.
-
C.
hasPio
Indicates that one entity possesses, is associated with, or is characterized by a specific Pio-related attribute, role, or component of another entity.
-
D.
hasPP
Indicates that an entity is associated with a particular prepositional phrase (PP) that modifies or relates to it in a syntactic or semantic structure.
-
E.
hasPar
Indicates a relationship where one entity has another entity as its parent.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dfea8bc819081f923c21b394a81 |
completed | May 2, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 9:10 p.m.