Triple
T38619792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawaz Sharif |
E936835
|
entity |
| Predicate | parliamentaryConstituency |
P2710
|
FINISHED |
| Object |
NA-130 Lahore
NA-130 Lahore is a National Assembly constituency in Lahore, Pakistan, known for being a key stronghold of former Prime Minister Nawaz Sharif and his party, the Pakistan Muslim League (N).
|
E2281234
|
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: NA-130 Lahore | Statement: [Nawaz Sharif, parliamentaryConstituency, NA-130 Lahore]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NA-130 Lahore Triple: [Nawaz Sharif, parliamentaryConstituency, NA-130 Lahore]
Generated description
NA-130 Lahore is a National Assembly constituency in Lahore, Pakistan, known for being a key stronghold of former Prime Minister Nawaz Sharif and his party, the Pakistan Muslim League (N).
Provenance (5 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd979d1848190b62a18260f5e2bae |
completed | May 7, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4205b631bc81908e14d01957031abc |
completed | June 29, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_6a4207b79f7c8190ac996d0300bedb29 |
completed | June 29, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a42087b26e48190a29e08c752c67fb7 |
completed | June 29, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:32 p.m.