Triple
T3652486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hase |
E77450
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object | Else (Hase) |
E77450
|
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: Else (Hase) | Statement: [Hase, hasLeftTributary, Else (Hase)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Else (Hase) Context triple: [Hase, hasLeftTributary, Else (Hase)]
-
A.
Hase
chosen
The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
-
B.
Ecco
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
-
C.
Hish
Hish was a field corps branch of the Haganah, the main Jewish paramilitary organization in Mandatory Palestine before the establishment of the State of Israel.
-
D.
Haise
Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
-
E.
Ehoiai
Ehoiai is an alternative title for the ancient Greek Hesiodic Catalogue of Women, a fragmentary epic poem that recounts the genealogies and heroic myths of legendary women.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b664448190986b5223d59de282 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f435c088190976c1dab165665f1 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.