Triple
T25961077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chennai Music Season |
E645538
|
entity |
| Predicate | originCityNameAtThatTime |
P185185
|
FINISHED |
| Object | Madras |
E664868
|
NE 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: Madras | Statement: [Chennai Music Season, originCityNameAtThatTime, Madras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originCityNameAtThatTime Context triple: [Chennai Music Season, originCityNameAtThatTime, Madras]
-
A.
capitalOfOrigin
Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
-
B.
cityAtTime
Indicates that a specified entity is located in a particular city during a given time or time interval.
-
C.
cityThenKnownAs
Indicates that an entity had a particular city name during a specified earlier time period, before it was renamed or became known by a different name.
-
D.
formerCityName
Indicates that an entity was previously known by a different city name in the past.
-
E.
cityPreviouslyLocatedIn
Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
- F. None of above. chosen
Provenance (5 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11272400548190a9ee6eeca17d2016 |
completed | May 23, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 22, 2026, 8:47 a.m.