Triple
T12958029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peoples Medical College |
E310067
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Nawabshah |
E78632
|
NE FINISHED |
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: Nawabshah | Statement: [Peoples Medical College, regionServed, Nawabshah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawabshah Context triple: [Peoples Medical College, regionServed, Nawabshah]
-
A.
Nawabshah
chosen
Nawabshah is a major city in Pakistan known as an important commercial and agricultural center in the Sindh province.
-
B.
Shujabad
Shujabad is a city in southern Punjab, Pakistan, known for its agricultural economy and proximity to the regional center of Multan.
-
C.
Bahawalnagar
Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
-
D.
Shikarpur
Shikarpur is a historic city in the Sindh province of Pakistan, known for its old trading heritage and distinctive cultural and architectural traditions.
-
E.
Narowal
Narowal is a city in the Punjab province of Pakistan, located close to the border with India and known for its agricultural surroundings and proximity to the Ravi River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2c5bf481908ca6adcfd3354f71 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7460999c081908c8d84caf6c04985 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 5:44 p.m.