Triple
T34112085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Mehta Kalu and Mata Tripta |
E874862
|
entity |
| Predicate | presentDayNameOfTown |
P94945
|
FINISHED |
| Object | Nankana Sahib |
—
|
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: Nankana Sahib | Statement: [House of Mehta Kalu and Mata Tripta, presentDayNameOfTown, Nankana Sahib]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayNameOfTown Context triple: [House of Mehta Kalu and Mata Tripta, presentDayNameOfTown, Nankana Sahib]
-
A.
presentDayTownName
chosen
Indicates that the object is the current or modern-day town name corresponding to the subject.
-
B.
presentDayNameOfCapital
Indicates that one entity is the current, officially used name of the capital city associated with another entity.
-
C.
presentDayNameContext
Indicates that an entity’s present-day name is used specifically within a given contextual framework (such as time, place, or usage).
-
D.
presentDayRegionName
Indicates the current or modern geographic region in which an entity or location is situated or identified.
-
E.
presentDayNameLanguage
Indicates the language in which the present-day name of an entity is expressed.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:53 a.m.