Triple
T15428502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhesh Province |
E369573
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Katahariya
Katahariya is a town in Nepal located within Madhesh Province in the southeastern Terai region.
|
E1156232
|
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: Katahariya | Statement: [Madhesh Province, containsCity, Katahariya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katahariya Context triple: [Madhesh Province, containsCity, Katahariya]
-
A.
Kasari
Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
-
B.
Undhiyu
Undhiyu is a traditional Gujarati mixed vegetable curry, typically cooked with seasonal produce and spices in an earthen pot, and especially associated with winter and festive celebrations.
-
C.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
D.
Kaei
Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
-
E.
Kaei
Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
- 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: Katahariya Triple: [Madhesh Province, containsCity, Katahariya]
Generated description
Katahariya is a town in Nepal located within Madhesh Province in the southeastern Terai region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katahariya Target entity description: Katahariya is a town in Nepal located within Madhesh Province in the southeastern Terai region.
-
A.
Kasari
Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
-
B.
Undhiyu
Undhiyu is a traditional Gujarati mixed vegetable curry, typically cooked with seasonal produce and spices in an earthen pot, and especially associated with winter and festive celebrations.
-
C.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
D.
Kaei
Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
-
E.
Kaei
Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b5a328c81909aaa74c6f002875c |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:20 a.m.