Triple
T25884479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangam area |
E652147
|
entity |
| Predicate | formerCityNameNearby |
P179772
|
FINISHED |
| Object | Allahabad |
—
|
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: Allahabad | Statement: [Sangam area, formerCityNameNearby, Allahabad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCityNameNearby Context triple: [Sangam area, formerCityNameNearby, Allahabad]
-
A.
formerCityName
Indicates that an entity was previously known by a different city name in the past.
-
B.
nearbyTownFormerName
Indicates that the nearby town previously had a different name, specifying its former name in relation to the current nearby town.
-
C.
formerCity
Indicates that an entity was once recognized as a city but no longer holds that status.
-
D.
cityPreviouslyLocatedIn
Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
-
E.
countyCapitalNearby
Indicates that a county’s capital city is located close to a specified place or entity.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 22, 2026, 8:17 a.m.