Triple
T20385623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starfleet Academy |
E497948
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Nog |
E446118
|
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: Nog | Statement: [Starfleet Academy, hasNotableAlumnus, Nog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nog Context triple: [Starfleet Academy, hasNotableAlumnus, Nog]
-
A.
Nog
chosen
Nog is a Ferengi Starfleet officer from Star Trek: Deep Space Nine who becomes the first of his species to join Starfleet and undergoes significant personal growth throughout the series.
-
B.
Nogais
Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
-
C.
Nob
Nob was an ancient priestly town in Israel, known as a sanctuary where the tabernacle and sacred objects were kept.
-
D.
El Nozha
El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
-
E.
Nohr
Nohr is a dark, militaristic kingdom in the game Fire Emblem Fates, known for its harsh environment, power struggles, and central role in the story’s political conflict.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761d20a48190ad378eba3d22684a |
completed | May 16, 2026, 1:50 p.m. |
Created at: April 16, 2026, 11:28 a.m.