Triple
T16339608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanganyika African National Union |
E396761
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TANU
TANU was the principal nationalist political party in Tanganyika that led the country to independence under the leadership of Julius Nyerere.
|
E1207293
|
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: TANU | Statement: [Tanganyika African National Union, shortName, TANU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TANU Context triple: [Tanganyika African National Union, shortName, TANU]
-
A.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
B.
Tanutamun
Tanutamun was a Kushite pharaoh of Egypt’s 25th Dynasty, known for his attempts to restore Nubian control over Egypt before being driven south by Assyrian invasions.
-
C.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
D.
Tani
Tani is a group of closely related Tibeto-Burman languages spoken primarily in the northeastern Indian states of Arunachal Pradesh and Assam.
-
E.
Tani
Tani is a Pashtun tribal group primarily associated with Afghanistan’s Khost region.
- 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: TANU Triple: [Tanganyika African National Union, shortName, TANU]
Generated description
TANU was the principal nationalist political party in Tanganyika that led the country to independence under the leadership of Julius Nyerere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TANU Target entity description: TANU was the principal nationalist political party in Tanganyika that led the country to independence under the leadership of Julius Nyerere.
-
A.
Taneti
Taneti is the given name of Taneti Maamau, the President of Kiribati.
-
B.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
C.
Tanutamun
Tanutamun was a Kushite pharaoh of Egypt’s 25th Dynasty, known for his attempts to restore Nubian control over Egypt before being driven south by Assyrian invasions.
-
D.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
E.
Tani
Tani is a group of closely related Tibeto-Burman languages spoken primarily in the northeastern Indian states of Arunachal Pradesh and Assam.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da08fbc88190a31127d10ca633d6 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261b31c08190908a72bff20871be |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0028275f008190abd10f186bdf9fd2 |
completed | May 10, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0028e71de88190b48e33f2116e78dc |
completed | May 10, 2026, 6:42 a.m. |
Created at: April 10, 2026, 5:07 a.m.