Triple
T1494149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siwi |
E29648
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
|
E170857
|
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: Tasiwit | Statement: [Siwi, hasAlternativeName, Tasiwit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasiwit Context triple: [Siwi, hasAlternativeName, Tasiwit]
-
A.
Mae Sot
Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
-
B.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
C.
Sulak
Sulak is a Thai social activist and Buddhist scholar known for his advocacy of human rights, democracy, and engaged Buddhism.
-
D.
Sassi Punnun
Sassi Punnun is a legendary romantic tragic tale from Punjabi (and broader South Asian) folklore, often celebrated as one of the classic love stories of the region.
-
E.
Lao Phra Lak Phra Lam
Lao Phra Lak Phra Lam is the Lao national epic, a localized adaptation of the Indian Ramayana that reflects Lao culture, religion, and literary tradition.
- 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: Tasiwit Triple: [Siwi, hasAlternativeName, Tasiwit]
Generated description
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tasiwit Target entity description: Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
-
A.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
B.
Mae Sot
Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
-
C.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
D.
Sulak
Sulak is a Thai social activist and Buddhist scholar known for his advocacy of human rights, democracy, and engaged Buddhism.
-
E.
Sassi Punnun
Sassi Punnun is a legendary romantic tragic tale from Punjabi (and broader South Asian) folklore, often celebrated as one of the classic love stories of the region.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c665488190ae665f7a1b0563f5 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cabe25c8190ba1d285a210a00f0 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1fb7e4448190a7bca159cd5a4be7 |
completed | March 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2014a0c481908f2f66fc742fa90f |
completed | March 8, 2026, 7:07 a.m. |
Created at: March 1, 2026, 8:12 p.m.