Triple
T13176411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umarkot Fort Museum |
E313108
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Umarkot |
E79535
|
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: Umarkot | Statement: [Umarkot Fort Museum, locatedIn, Umarkot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umarkot Context triple: [Umarkot Fort Museum, locatedIn, Umarkot]
-
A.
Umarkot
chosen
Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
-
B.
Karimabad
Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
-
C.
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.
-
D.
Skardu
Skardu is a major town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and popular for its high-altitude trekking and scenic landscapes.
-
E.
Pul-e Khumri
Pul-e Khumri is a key industrial and administrative city in northern Afghanistan, serving as the capital of Baghlan Province and an important regional transport hub.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c322fdc8190b05f2287eba9dda6 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546b9ae081909f97fc4a06b8f927 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:14 p.m.