Triple
T19102263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian national grid |
E467561
|
entity |
| Predicate | interconnectionMode |
P64333
|
FINISHED |
| Object | HVDC back-to-back links |
—
|
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: HVDC back-to-back links | Statement: [Indian national grid, interconnectionMode, HVDC back-to-back links]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interconnectionMode Context triple: [Indian national grid, interconnectionMode, HVDC back-to-back links]
-
A.
interconnectionType
chosen
Indicates the specific kind or nature of relationship that links two or more entities together.
-
B.
interconnectionFrequency
Indicates how often two or more entities are connected or interact with each other over a given period.
-
C.
connectivityMode
Indicates how two or more entities are linked or able to communicate with each other, such as the type or method of connection used between them.
-
D.
supportsInterconnection
Indicates that one entity enables, facilitates, or maintains a connection or interoperability between two or more other entities.
-
E.
interconnectTechnology
Indicates a relationship where different technologies are linked or integrated so they can work together or share information.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36e9bfc8190bbaccab169394d99 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.