Triple
T18699143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mubarak Mandi Palace complex |
E457200
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gol Ghar |
—
|
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: Gol Ghar | Statement: [Mubarak Mandi Palace complex, contains, Gol Ghar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gol Ghar Context triple: [Mubarak Mandi Palace complex, contains, Gol Ghar]
-
A.
Ek Ghar
Ek Ghar is an Indian film best known for featuring actress Zarina Wahab in a prominent role.
-
B.
Spin Ghar
Spin Ghar is a prominent mountain range in eastern Afghanistan forming part of the border with Pakistan and known for its rugged, high peaks.
-
C.
Maidaan
Maidaan is a Hindi-language biographical sports drama film centered on the golden era of Indian football, produced by Boney Kapoor and starring Ajay Devgn as legendary coach Syed Abdul Rahim.
-
D.
Dhool
Dhool is a popular 2003 Tamil action-comedy film starring Vikram, known for its mass appeal, energetic performances, and hit soundtrack.
-
E.
Golghar
chosen
Golghar is a large, historic granary in Patna, India, built in the late 18th century by the British to prevent famines and now recognized as an iconic architectural landmark.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562ea4ee48190b18a29553371f31a |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.