Triple
T7784174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pink Line (Delhi Metro) |
E187198
|
entity |
| Predicate | partOfPhase |
P22825
|
FINISHED |
| Object | Delhi Metro Phase III |
E19472
|
NE FINISHED |
How this triple was built (3 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: Delhi Metro Phase III | Statement: [Pink Line (Delhi Metro), partOfPhase, Delhi Metro Phase III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delhi Metro Phase III Context triple: [Pink Line (Delhi Metro), partOfPhase, Delhi Metro Phase III]
-
A.
Delhi Metro
chosen
Delhi Metro is a rapid transit system serving Delhi and its surrounding metropolitan region, known for its extensive network, modern infrastructure, and role in easing urban congestion.
-
B.
Noida Metro
Noida Metro is a rapid transit system serving the city of Noida and its surrounding areas in India’s National Capital Region.
-
C.
Mumbai Metro
Mumbai Metro is a rapid transit system serving the Mumbai metropolitan region, designed to alleviate congestion and complement the city’s suburban railway network.
-
D.
Lucknow Metro
Lucknow Metro is a rapid transit system serving the city of Lucknow in Uttar Pradesh, India, designed to provide fast, modern urban transportation.
-
E.
Rapid Metro Gurgaon
Rapid Metro Gurgaon is a privately built and operated light rapid transit system serving key commercial and residential areas of Gurugram in the National Capital Region of India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfPhase Context triple: [Pink Line (Delhi Metro), partOfPhase, Delhi Metro Phase III]
-
A.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
B.
targetsPhase
Indicates that an action, process, or entity is specifically directed toward or intended to affect a particular phase or stage within a larger sequence or lifecycle.
-
C.
phase
Indicates that one entity is in a particular stage, step, or phase within a process, sequence, or lifecycle relative to another reference.
-
D.
programPhase
chosen
Indicates the specific stage or phase within a broader program or process that an entity is currently associated with.
-
E.
hasPhaseOfPlay
Indicates a relationship where a broader game or activity includes or is associated with a specific phase or segment of play.
- F. None of above.
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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5f4fa6c8190a85ba9019c0e5345 |
completed | March 30, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:23 p.m.