Triple
T8948509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirthan Valley |
E213283
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Shoja |
E718347
|
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: Shoja | Statement: [Tirthan Valley, hasSettlement, Shoja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoja Context triple: [Tirthan Valley, hasSettlement, Shoja]
-
A.
Shoja
chosen
Shoja is a small, scenic mountain village in the Banjar region of Himachal Pradesh, India, known for its tranquil atmosphere, forested hills, and views of the Himalayas.
-
B.
Parviz
Parviz is a masculine given name of Persian origin commonly used in Iran and among Persian-speaking communities.
-
C.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
D.
Szohr
Szohr is the surname of American actress Jessica Szohr, best known for her role as Vanessa Abrams on the television series "Gossip Girl."
-
E.
Pakula
Pakula is a surname most notably associated with Alan J. Pakula, the acclaimed American film director, producer, and screenwriter known for works like "All the President's Men."
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6709c7a48190ab503083a1d6a29f |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc2022e30819089ba08f494a3a66f |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:59 p.m.