Triple
T6098727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaili language |
E135940
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Tajio Kaili
Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
|
E569495
|
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: Tajio Kaili | Statement: [Kaili language, hasDialect, Tajio Kaili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tajio Kaili Context triple: [Kaili language, hasDialect, Tajio Kaili]
-
A.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
B.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
C.
El Tebbin
El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
-
D.
Shuja
Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
-
E.
Fajia
Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
- 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: Tajio Kaili Triple: [Kaili language, hasDialect, Tajio Kaili]
Generated description
Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tajio Kaili Target entity description: Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
A.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
B.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
C.
El Tebbin
El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
-
D.
Shuja
Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
-
E.
Fajia
Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125475548819086b733a80056eba5 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c128753cd8819096edb3c817bfae10 |
completed | March 23, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129134ce08190ada54a7b3eda27f4 |
completed | March 23, 2026, 11:50 a.m. |
Created at: March 22, 2026, 4:13 p.m.