Triple
T34112102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Mehta Kalu and Mata Tripta |
E874862
|
entity |
| Predicate | hasNameInGurmukhi |
P52781
|
FINISHED |
| Object | ਜਨਮ ਅਸਥਾਨ ਨਨਕਾਣਾ ਸਾਹਿਬ |
—
|
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: ਜਨਮ ਅਸਥਾਨ ਨਨਕਾਣਾ ਸਾਹਿਬ | Statement: [House of Mehta Kalu and Mata Tripta, hasNameInGurmukhi, ਜਨਮ ਅਸਥਾਨ ਨਨਕਾਣਾ ਸਾਹਿਬ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInGurmukhi Context triple: [House of Mehta Kalu and Mata Tripta, hasNameInGurmukhi, ਜਨਮ ਅਸਥਾਨ ਨਨਕਾਣਾ ਸਾਹਿਬ]
-
A.
hasNameInPunjabi
chosen
Indicates that an entity is associated with a specific name expressed in the Punjabi language.
-
B.
hasNameInGujarati
Indicates that an entity is associated with a specific name expressed in the Gujarati language.
-
C.
hasNameInUrdu
Indicates that an entity is associated with a specific name expressed in the Urdu language.
-
D.
hasNameInSindhi
Indicates that an entity is associated with a specific name expressed in the Sindhi language.
-
E.
hasNameInTeluguScript
Indicates that an entity is associated with a name written in the Telugu script.
- 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_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:53 a.m.