Triple
T19823592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhshankar |
E476258
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Balachaur |
—
|
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: Balachaur | Statement: [Garhshankar, hasNearbyTown, Balachaur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balachaur Context triple: [Garhshankar, hasNearbyTown, Balachaur]
-
A.
Balachaur
chosen
Balachaur is a town in the Indian state of Punjab, known as a local commercial and administrative center within the Shaheed Bhagat Singh Nagar district.
-
B.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
-
C.
Rithala
Rithala is a metro station in Delhi, India, serving as the northern endpoint of the Delhi Metro’s Red Line and a key transit hub for the surrounding residential and commercial areas.
-
D.
Mithankot
Mithankot is a town in southern Punjab, Pakistan, situated near Kot Mithan along the Indus River.
-
E.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6550070c4819099e1f057b9a8849e |
completed | April 20, 2026, 4:32 p.m. |
Created at: April 10, 2026, 1:50 p.m.