Triple
T19844771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kherlen River |
E476830
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object |
Ondorkhaan
Ondorkhaan is a town in eastern Mongolia that serves as the capital of Khentii Province and a regional center for administration and trade.
|
E1399666
|
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: Ondorkhaan | Statement: [Kherlen River, majorCityOnRiver, Ondorkhaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ondorkhaan Context triple: [Kherlen River, majorCityOnRiver, Ondorkhaan]
-
A.
Bahoriband
Bahoriband is a town in the Katni district of Madhya Pradesh, India, known for its local administrative and market functions within the region.
-
B.
Hakha
Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
-
C.
Gouderak
Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
-
D.
Kharkhoda
Kharkhoda is a town in the Indian state of Uttar Pradesh that serves as a local urban hub within Meerut district.
-
E.
Kharkhoda
Kharkhoda is a town in the Sonipat district of the northern Indian state of Haryana, known for its agricultural surroundings and growing residential and commercial development.
- 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: Ondorkhaan Triple: [Kherlen River, majorCityOnRiver, Ondorkhaan]
Generated description
Ondorkhaan is a town in eastern Mongolia that serves as the capital of Khentii Province and a regional center for administration and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ondorkhaan Target entity description: Ondorkhaan is a town in eastern Mongolia that serves as the capital of Khentii Province and a regional center for administration and trade.
-
A.
Bahoriband
Bahoriband is a town in the Katni district of Madhya Pradesh, India, known for its local administrative and market functions within the region.
-
B.
Hakha
Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
-
C.
Gouderak
Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
-
D.
Kharkhoda
Kharkhoda is a town in the Indian state of Uttar Pradesh that serves as a local urban hub within Meerut district.
-
E.
Kharkhoda
Kharkhoda is a town in the Sonipat district of the northern Indian state of Haryana, known for its agricultural surroundings and growing residential and commercial development.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658085a148190a305bde0897dfe84 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbbab7788190ba3cfb088ede2055 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc7421b48190a81724e702727d05 |
completed | May 16, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dcf2d88c8190bbf9aa42f9fe8c6d |
completed | May 16, 2026, 2:56 a.m. |
Created at: April 10, 2026, 1:51 p.m.