Triple
T13095819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khost Province |
E310581
|
entity |
| Predicate | dominantTribalGroup |
P65193
|
FINISHED |
| Object |
Tani
Tani is a Pashtun tribal group primarily associated with Afghanistan’s Khost region.
|
E1019741
|
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: Tani | Statement: [Khost Province, dominantTribalGroup, Tani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tani Context triple: [Khost Province, dominantTribalGroup, Tani]
-
A.
Tani
Tani is a group of closely related Tibeto-Burman languages spoken primarily in the northeastern Indian states of Arunachal Pradesh and Assam.
-
B.
Tani Tateki
Tani Tateki was a Japanese samurai and military commander of the Meiji era who played a key role in government forces during the Satsuma Rebellion.
-
C.
Yulu
Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
-
D.
Hani
The Hani are an ethnic minority group in China, primarily known for their terraced rice farming, distinctive traditional dress, and rich folk culture in the mountainous regions of Yunnan.
-
E.
Tigani
Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
- 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: Tani Triple: [Khost Province, dominantTribalGroup, Tani]
Generated description
Tani is a Pashtun tribal group primarily associated with Afghanistan’s Khost region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tani Target entity description: Tani is a Pashtun tribal group primarily associated with Afghanistan’s Khost region.
-
A.
Tani
Tani is a group of closely related Tibeto-Burman languages spoken primarily in the northeastern Indian states of Arunachal Pradesh and Assam.
-
B.
Tani Tateki
Tani Tateki was a Japanese samurai and military commander of the Meiji era who played a key role in government forces during the Satsuma Rebellion.
-
C.
Yulu
Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
-
D.
Hani
The Hani are an ethnic minority group in China, primarily known for their terraced rice farming, distinctive traditional dress, and rich folk culture in the mountainous regions of Yunnan.
-
E.
Tigani
Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d619b82c819093d0d98db88eb9ae |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d7da15b08190ba181bbb1a386acb |
completed | May 3, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d8cdf48081909b6088e7d72fc3c5 |
completed | May 3, 2026, 5:10 a.m. |
Created at: April 9, 2026, 9:03 p.m.