Triple
T10442100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hof district |
E246193
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Naila |
E825768
|
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: Naila | Statement: [Hof district, contains, Naila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naila Context triple: [Hof district, contains, Naila]
-
A.
Naila
chosen
Naila is a small town in northern Bavaria, Germany, known for its location near the Franconian Forest and its traditional Upper Franconian character.
-
B.
Malalai
Malalai is an Afghan activist and former politician internationally recognized for her outspoken criticism of warlords, the Taliban, and foreign occupation in Afghanistan.
-
C.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
D.
Nita
Nita is a feminine given name commonly used as a shortened or affectionate form of longer names such as Juanita.
-
E.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ed6edd88190afd5063daba58a46 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.