Triple
T433106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narmada |
E9755
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Rewa
Rewa is an alternative name for the Narmada River, one of central India's major and holiest rivers.
|
E55984
|
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: Rewa | Statement: [Narmada, hasAlternativeName, Rewa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rewa Context triple: [Narmada, hasAlternativeName, Rewa]
-
A.
Kareli
Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
-
B.
Potohari
Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
-
C.
Bitra
Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
-
D.
Sibi
Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
-
E.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
- 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: Rewa Triple: [Narmada, hasAlternativeName, Rewa]
Generated description
Rewa is an alternative name for the Narmada River, one of central India's major and holiest rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rewa Target entity description: Rewa is an alternative name for the Narmada River, one of central India's major and holiest rivers.
-
A.
Kareli
Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
-
B.
Potohari
Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
-
C.
Bitra
Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
-
D.
Sibi
Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
-
E.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef084840819080653004b674cba8 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a442a01ebc8190bc4810df7c358932 |
completed | March 1, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69a4430b95048190bde4ff5118bda91f |
completed | March 1, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4433c43388190a634c2a630bde2e6 |
completed | March 1, 2026, 1:46 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.