Triple
T14062918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data Darbar |
E338390
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Data Ganj Bakhsh |
E687999
|
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: Data Ganj Bakhsh | Statement: [Data Darbar, namedAfter, Data Ganj Bakhsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Data Ganj Bakhsh Context triple: [Data Darbar, namedAfter, Data Ganj Bakhsh]
-
A.
Data Ganj Bakhsh
chosen
Data Ganj Bakhsh is a renowned 11th-century Persian Sufi saint and scholar, venerated especially in South Asia for his influential teachings and spiritual legacy.
-
B.
Random Dent
Random Dent is a character in Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series, known as the daughter of Arthur Dent and Trillian.
-
C.
Ironic API
Ironic API is the OpenStack service interface for provisioning and managing bare metal machines as cloud resources.
-
D.
Gnocchi API
Gnocchi API is a time-series and resource indexing service API used in OpenStack for efficient storage, retrieval, and aggregation of metrics data.
-
E.
Tenebak
Tenebak is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd09db51c8190ab275e68b1aec120 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.