Triple
T13998031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corporation of Madras |
E336750
|
entity |
| Predicate | isOneOfTheOldest |
P32942
|
FINISHED |
| Object | city corporations in India |
—
|
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: city corporations in India | Statement: [Corporation of Madras, isOneOfTheOldest, city corporations in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfTheOldest Context triple: [Corporation of Madras, isOneOfTheOldest, city corporations in India]
-
A.
oneOfTheOldestOn
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
B.
oldestAge
Indicates that the associated value represents the greatest (maximum) age within a given group, set, or context.
-
C.
isOneOfOldestFranchisesIn
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
-
D.
oneOfOldestCities
chosen
Indicates that the subject is among the oldest cities within a specified group, region, or context.
-
E.
isOneOfOldestProgramsIn
Indicates that a program ranks among the earliest or most long-established programs within a specified group, category, or location.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.