Triple
T37860484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patna Lawns |
E944311
|
entity |
| Predicate | namedAfterNow |
P63
|
FINISHED |
| Object | Mahatma Gandhi (via Gandhi Maidan) |
—
|
NE NERFINISHED |
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: Mahatma Gandhi (via Gandhi Maidan) | Statement: [Patna Lawns, namedAfterNow, Mahatma Gandhi (via Gandhi Maidan)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterNow Context triple: [Patna Lawns, namedAfterNow, Mahatma Gandhi (via Gandhi Maidan)]
-
A.
namedAfterSince
Indicates that one entity has borne the name of another entity starting from a specific point in time.
-
B.
namedAfter
chosen
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
C.
notAfter
Indicates that one event or entity does not occur later than (i.e., is earlier than or at the same time as) another in an ordering or timeline.
-
D.
arisesAfter
Indicates that one event, state, or condition comes into existence or begins only after another specified event, state, or condition has occurred.
-
E.
laterNamed
Indicates that an entity was given a new name at a later time, linking its original identity to its subsequent name.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:19 p.m.