Triple
T15780741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tharparkar District |
E382607
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Mithi |
E379161
|
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: Mithi | Statement: [Tharparkar District, capital, Mithi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mithi Context triple: [Tharparkar District, capital, Mithi]
-
A.
Mithi
chosen
Mithi is a town in Pakistan’s Sindh province known for its predominantly Hindu population and its location in the Thar Desert region.
-
B.
Magarima
Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
-
C.
Yaudheya
Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
-
D.
Matareya
Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
-
E.
Mithbav
Mithbav is a coastal village in Maharashtra, India, known for its serene beach and location within the Konkan region.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.