Triple
T7641421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Pakistan |
E173018
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Khuzdar |
E457913
|
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: Khuzdar | Statement: [Southern Pakistan, hasMajorCity, Khuzdar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khuzdar Context triple: [Southern Pakistan, hasMajorCity, Khuzdar]
-
A.
Khuzdar
chosen
Khuzdar is a major city in central Balochistan that serves as an important regional commercial and administrative center in southwestern Pakistan.
-
B.
Khudabad
Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
-
C.
Karimabad
Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
-
D.
Karimabad
Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
-
E.
Khandhar
Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870cd11648190b9aeedadb7bc1981 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:57 p.m.