Triple
T10618261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khortha |
E295178
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Khorta Thar
Khorta Thar is an alternate name for Khortha, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
|
E875388
|
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: Khorta Thar | Statement: [Khortha, hasAlternateName, Khorta Thar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khorta Thar Context triple: [Khortha, hasAlternateName, Khorta Thar]
-
A.
Thantlang
Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
-
B.
Mangdechhu
Mangdechhu is a river in Bhutan known for flowing through ecologically rich protected areas and hosting major hydropower projects.
-
C.
Tonsawang
Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
-
D.
Thap Put
Thap Put is a district in southern Thailand known for its rural landscapes and location within Phang Nga Province.
-
E.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
- 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: Khorta Thar Triple: [Khortha, hasAlternateName, Khorta Thar]
Generated description
Khorta Thar is an alternate name for Khortha, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khorta Thar Target entity description: Khorta Thar is an alternate name for Khortha, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
-
A.
Thantlang
Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
-
B.
Mangdechhu
Mangdechhu is a river in Bhutan known for flowing through ecologically rich protected areas and hosting major hydropower projects.
-
C.
Tonsawang
Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
-
D.
Thap Put
Thap Put is a district in southern Thailand known for its rural landscapes and location within Phang Nga Province.
-
E.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:19 p.m.