Triple
T8159320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junagarh Fort |
E190532
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Thar Desert |
E5064
|
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: Thar Desert | Statement: [Junagarh Fort, region, Thar Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thar Desert Context triple: [Junagarh Fort, region, Thar Desert]
-
A.
Thar Desert
chosen
The Thar Desert is a vast arid region in northwestern India and eastern Pakistan, known for its sand dunes, extreme climate, and sparse vegetation.
-
B.
Murzuq Desert
The Murzuq Desert is a vast, remote sand desert in southwestern Libya, known for its towering dunes, extreme aridity, and sparse human habitation.
-
C.
Siloli Desert
The Siloli Desert is a remote, high-altitude desert in southwestern Bolivia, known for its stark rock formations, sparse vegetation, and otherworldly landscapes within the Andean plateau.
-
D.
Nefud Desert
The Nefud Desert is a vast, crescent-shaped sand desert in northern Saudi Arabia known for its towering dunes and harsh, arid climate.
-
E.
Katpana Desert
Katpana Desert is a high-altitude cold desert near Skardu in Pakistan’s Gilgit-Baltistan region, known for its striking sand dunes set against snow-capped mountains.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb455213f08190a4327a2116c7381f |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88498cf081909c25c292c014fe8c |
completed | April 2, 2026, 3:16 p.m. |
Created at: March 30, 2026, 5:38 p.m.