Triple
T14271528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rao |
E353796
|
entity |
| Predicate | relatedTitle |
P914
|
FINISHED |
| Object |
Rawat
Rawat is a hereditary title and surname used in parts of India, particularly among certain Rajput and other warrior or landowning communities.
|
E1088908
|
NE FINISHED |
How this triple was built (4 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: Rawat | Statement: [Rao, relatedTitle, Rawat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawat Context triple: [Rao, relatedTitle, Rawat]
-
A.
Rawatsar
Rawatsar is a prominent town in Rajasthan, India, known as one of the key urban centers of Hanumangarh district.
-
B.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
C.
Rakitin
Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
-
D.
Rahesuk
Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
-
E.
Roal
Roal is a small settlement located in the Hadeland district of southeastern Norway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rawat Triple: [Rao, relatedTitle, Rawat]
Generated description
Rawat is a hereditary title and surname used in parts of India, particularly among certain Rajput and other warrior or landowning communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rawat Target entity description: Rawat is a hereditary title and surname used in parts of India, particularly among certain Rajput and other warrior or landowning communities.
-
A.
Rawatsar
Rawatsar is a prominent town in Rajasthan, India, known as one of the key urban centers of Hanumangarh district.
-
B.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
C.
Rakitin
Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
-
D.
Rahesuk
Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
-
E.
Roal
Roal is a small settlement located in the Hadeland district of southeastern Norway.
- F. None of above. chosen
Provenance (5 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de65811d7c8190b075909a6570d415 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326a5aec8190b139a0c49fd43705 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd333b49a88190834a5f45fa0fc6c2 |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33bdc8d08190be11f5ccf259cd6a |
completed | May 8, 2026, 12:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.