Triple
T2784540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nutuk |
E61778
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Nutuk |
E61778
|
NE FINISHED |
How this triple was built (2 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: Nutuk | Statement: [Nutuk, title, Nutuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nutuk Context triple: [Nutuk, title, Nutuk]
-
A.
Nutuk
chosen
Nutuk is a monumental speech and historical account delivered by Mustafa Kemal Atatürk in 1927, detailing the Turkish War of Independence and the founding of the Republic of Turkey.
-
B.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
C.
Nukat-us-Shuara
Nukat-us-Shuara is a biographical and critical anthology of poets compiled by the renowned Urdu poet Mir Taqi Mir.
-
D.
Nuk
Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
-
E.
Kalemie
Kalemie is a port city in the Democratic Republic of the Congo on the western shore of Lake Tanganyika, serving as a regional transport and trade hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd9e11e48190af48f605062ea387 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc0629e8c81909b55d9838e681ba2 |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.