Triple
T16593576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurukh people |
E403149
|
entity |
| Predicate | scriptUsed |
P2367
|
FINISHED |
| Object |
Tolong Siki
Tolong Siki is an alphabetic writing system developed in the late 20th century for the Kurukh (Oraon) language spoken by the Kurukh people of India.
|
E1222270
|
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: Tolong Siki | Statement: [Kurukh people, scriptUsed, Tolong Siki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolong Siki Context triple: [Kurukh people, scriptUsed, Tolong Siki]
-
A.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
B.
Sikrai
Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
-
C.
Kusaila
Kusaila was a 7th-century Berber Christian leader and military commander who led resistance against the early Muslim expansion in North Africa.
-
D.
Pami Dua
Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
-
E.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
- 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: Tolong Siki Triple: [Kurukh people, scriptUsed, Tolong Siki]
Generated description
Tolong Siki is an alphabetic writing system developed in the late 20th century for the Kurukh (Oraon) language spoken by the Kurukh people of India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tolong Siki Target entity description: Tolong Siki is an alphabetic writing system developed in the late 20th century for the Kurukh (Oraon) language spoken by the Kurukh people of India.
-
A.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
B.
Sikrai
Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
-
C.
Kusaila
Kusaila was a 7th-century Berber Christian leader and military commander who led resistance against the early Muslim expansion in North Africa.
-
D.
Pami Dua
Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
-
E.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759dea5c819083fe9fb7dee37a35 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0076468d588190972639d0a22f0e3e |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007734abd481909c9c698f2aef7632 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:16 a.m.