Triple
T22074122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triveni Sangam |
E545480
|
entity |
| Predicate | hasNearbyCityRenamedIn |
P146522
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Triveni Sangam, hasNearbyCityRenamedIn, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCityRenamedIn Context triple: [Triveni Sangam, hasNearbyCityRenamedIn, 2018]
-
A.
hasAssociatedCityFormerName
Indicates that an entity is linked to a city by referencing one of that city's former or historical names.
-
B.
countryAfterCityRename
Indicates the country to which a city belongs after the city has undergone a renaming.
-
C.
hostCityRenamed
Indicates that the city hosting an event has undergone a name change from its previous official designation.
-
D.
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.
-
E.
hasAlternativeNameForSameCity
Indicates that one city name is an alternative or variant name referring to the same city as another name.
- F. None of above. chosen
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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288affb081908b64742f7bf467fa |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad59ef48190b62a2af636918a15 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:28 p.m.