Triple
T17422732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lal Qila |
E423656
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nahr-i-Bihisht |
—
|
NE NERFINISHED |
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: Nahr-i-Bihisht | Statement: [Lal Qila, contains, Nahr-i-Bihisht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nahr-i-Bihisht Context triple: [Lal Qila, contains, Nahr-i-Bihisht]
-
A.
Nahr-i-Bihisht
chosen
Nahr-i-Bihisht is an ornamental water channel and garden feature within the Red Fort in Delhi, designed to evoke a paradisiacal river through its flowing water and elegant Mughal architecture.
-
B.
Darya-e-Haro
Darya-e-Haro is a river in northern Pakistan that flows through the Hazara region and joins the Indus River, serving as an important water source for surrounding communities.
-
C.
Harirud
Harirud is a major river in Central Asia that flows through Afghanistan, Iran, and Turkmenistan, playing an important role in regional agriculture and water resources.
-
D.
Sihor
Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
-
E.
Noor
Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44238b418819095c6a013d3ff3b17 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.