Triple
T27477054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Line (Delhi Metro) |
E693491
|
entity |
| Predicate | firstLineOfSystem |
P25099
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Red Line (Delhi Metro), firstLineOfSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineOfSystem Context triple: [Red Line (Delhi Metro), firstLineOfSystem, true]
-
A.
isFirstLineOfSystem
chosen
Indicates that one entity is the initial or starting line within a defined system or system representation.
-
B.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
C.
firstLines
Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
-
D.
systemStartLine
Indicates the line or point in a sequence where a system begins its operation or execution.
-
E.
firstLineInOperation
Indicates that one entity is the first line or initial step executed within a particular operation or process.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: April 27, 2026, 12:57 p.m.