Triple
T17412918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layyah |
E423412
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Dera Ghazi Khan |
—
|
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: Dera Ghazi Khan | Statement: [Layyah, hasNearbyCity, Dera Ghazi Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dera Ghazi Khan Context triple: [Layyah, hasNearbyCity, Dera Ghazi Khan]
-
A.
Dera Ghazi Khan
chosen
Dera Ghazi Khan is a major city in southern Punjab, Pakistan, known as an important cultural and economic center of the Seraiki-speaking region.
-
B.
Dera Fateh Khan
Dera Fateh Khan is a town in Pakistan’s Dera Ismail Khan District that serves as a key cultural and geographic center of the Derajat region.
-
C.
Mandi Bahauddin
Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
-
D.
Vehari
Vehari is a city in the Punjab province of Pakistan, known as an agricultural and educational hub in the region.
-
E.
Khanewal
Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0c12b881908b2ddc13678c7a75 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.