Triple
T2873340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmandir Sahib |
E56816
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sarovar |
E132102
|
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: Sarovar | Statement: [Harmandir Sahib, hasPart, Sarovar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarovar Context triple: [Harmandir Sahib, hasPart, Sarovar]
-
A.
Kusum Sarovar
Kusum Sarovar is a historic and scenic lakeside monument in the Braj region of India, revered for its association with Lord Krishna and its ornate sandstone architecture.
-
B.
Sannihit Sarovar
Sannihit Sarovar is a sacred water tank in Kurukshetra, India, revered in Hindu tradition as a holy site for ritual bathing and ancestral offerings.
-
C.
Brahma Sarovar
Brahma Sarovar is a large, sacred water tank in Kurukshetra, India, revered in Hindu tradition and associated with ancient religious rituals and pilgrimage.
-
D.
Amrit Sarovar
chosen
Amrit Sarovar is the sacred pool of nectar surrounding the Harmandir Sahib (Golden Temple) in Amritsar, revered as a holy site in Sikhism.
-
E.
Lal Dighi
Lal Dighi is a historic water tank and public square in the heart of Kolkata, India, surrounded by important colonial-era administrative and civic buildings.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abdfe59ef88190b8bdfdd03e8965f3 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03153b5048190925bfacc07f2db66 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.