Triple
T12161676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhunjhunu district |
E289722
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pilani |
E659651
|
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: Pilani | Statement: [Jhunjhunu district, contains, Pilani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilani Context triple: [Jhunjhunu district, contains, Pilani]
-
A.
Pilani
chosen
Pilani is a town in the Jhunjhunu district of Rajasthan, India, best known as an educational hub and the location of the Birla Institute of Technology and Science (BITS Pilani).
-
B.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
-
C.
Calvinia
Calvinia is a small South African town in the Northern Cape, known for its sheep farming, clear night skies, and location within the arid Karoo region.
-
D.
Lobamba
Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
-
E.
Pula
Pula is a historic coastal city in Croatia known for its well-preserved Roman amphitheater and Adriatic seaside location.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c395e48190a16e97fd29787a51 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a0baf0819094e90b7e92b979d4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.