Triple
T7671856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Sultan Ibrahim |
E173766
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Thatta city |
E32159
|
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: Thatta city | Statement: [Tomb of Sultan Ibrahim, locatedNear, Thatta city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thatta city Context triple: [Tomb of Sultan Ibrahim, locatedNear, Thatta city]
-
A.
Amarkot
Amarkot is an alternative name for Umarkot, a historic town and district in the Sindh province of Pakistan known for its cultural and Mughal-era significance.
-
B.
Bannu
Bannu is a historic city in northwestern Pakistan known as a regional commercial and cultural center in the Khyber Pakhtunkhwa province.
-
C.
Thatta
chosen
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
-
D.
Turbat
Turbat is a major city in southern Balochistan, Pakistan, known as a commercial and cultural center of the Makran region.
-
E.
Bin Qasim Town
Bin Qasim Town is a residential and industrial locality in the eastern part of Karachi, Pakistan, known for its proximity to the Port Qasim industrial area.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9162ec9ec8190bd48b23b2877ff34 |
completed | March 29, 2026, 12:08 p.m. |
Created at: March 27, 2026, 4 p.m.