Triple
T12946964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darbar Sahib |
E309794
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Darshani Deori |
E304692
|
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: Darshani Deori | Statement: [Darbar Sahib, hasPart, Darshani Deori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darshani Deori Context triple: [Darbar Sahib, hasPart, Darshani Deori]
-
A.
Darshani Deori
chosen
Darshani Deori is the main ceremonial gateway leading to the Harmandir Sahib (Golden Temple) complex in Amritsar, serving as a sacred entrance for pilgrims.
-
B.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
C.
Shalini
Shalini is an Indian former film actress best known for her work as a child artist and leading lady in Malayalam and Tamil cinema.
-
D.
Upasana Khanda
Upasana Khanda is a major section of the Ganesha Purana that focuses on devotional practices, worship methods, and spiritual teachings related to the Hindu deity Ganesha.
-
E.
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0ec7e8081909fcff6cff11a9337 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:43 p.m.