Triple
T19025392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firozpur railway division |
E465595
|
entity |
| Predicate | borderStateConnectivity |
P133606
|
FINISHED |
| Object | Provides rail connectivity towards Jammu and Kashmir |
—
|
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: Provides rail connectivity towards Jammu and Kashmir | Statement: [Firozpur railway division, borderStateConnectivity, Provides rail connectivity towards Jammu and Kashmir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderStateConnectivity Context triple: [Firozpur railway division, borderStateConnectivity, Provides rail connectivity towards Jammu and Kashmir]
-
A.
borderStateConnection
Indicates a relationship where one state directly borders or shares a boundary with another state.
-
B.
borderingCountryConnectivity
Indicates that two countries share a land or maritime border that allows direct movement or interaction between them.
-
C.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
D.
connectsCountryBorder
Indicates that one entity forms a direct land or maritime border connection with a specified country.
-
E.
borderConnectionPlanned
Indicates that a border crossing or boundary link between two regions is intended or scheduled to be established in the future.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e271848190b67ad08af35b6796 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8f6f7c8190af645bf08823ee2b |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.