Triple
T7553674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morača |
E178602
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Zeta |
E178609
|
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: Zeta | Statement: [Morača, hasTributary, Zeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeta Context triple: [Morača, hasTributary, Zeta]
-
A.
Zeta
chosen
Zeta is a historical region in present-day Montenegro that once formed a medieval principality and early state precursor to the country.
-
B.
Zeta
Zeta is the sixth letter of the Greek alphabet, corresponding roughly to the English "z" sound.
-
C.
Upsilon
Upsilon is a letter of the Greek alphabet that historically represented a "u" or "y" vowel sound and is used in various scientific and mathematical contexts.
-
D.
Epsilon
Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
-
E.
Epsilon
Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b8165481908285fc9697fe4c99 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f3602008190aa91cf55e43bdf30 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.