Triple
T9192690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khasian |
E220627
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Maharam language
The Maharam language is a lesser-known Austroasiatic language spoken by the Maharam (Maram) people of the Khasi Hills in northeastern India.
|
E783509
|
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: Maharam language | Statement: [Khasian, hasMember, Maharam language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maharam language Context triple: [Khasian, hasMember, Maharam language]
-
A.
Ghomara language
The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Avikam language
The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Tawbuid language
The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
-
E.
Kumzari language
The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
- 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: Maharam language Triple: [Khasian, hasMember, Maharam language]
Generated description
The Maharam language is a lesser-known Austroasiatic language spoken by the Maharam (Maram) people of the Khasi Hills in northeastern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maharam language Target entity description: The Maharam language is a lesser-known Austroasiatic language spoken by the Maharam (Maram) people of the Khasi Hills in northeastern India.
-
A.
Ghomara language
The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Avikam language
The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Tawbuid language
The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
-
E.
Kumzari language
The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c1fa9c8190bc5cc6dce8778694 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c2bb2c481909db8c223aececf37 |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05d4ec9d48190bb425fe0449f4bf2 |
completed | April 4, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05dde94f08190aec82aa680ca0dce |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.