Triple
T3361287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dicle |
E70724
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object | Batman River |
E67902
|
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: Batman River | Statement: [Dicle, hasMajorTributary, Batman River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batman River Context triple: [Dicle, hasMajorTributary, Batman River]
-
A.
Batman River
chosen
The Batman River is a significant river in southeastern Turkey that flows through the Batman Province and joins the Tigris River.
-
B.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
-
C.
Batman Dam
Batman Dam is a major rock-fill embankment dam in southeastern Turkey, built primarily for hydroelectric power generation and irrigation on the Batman River.
-
D.
Batman
Batman is a popular DC Comics superhero and cultural icon known for fighting crime in Gotham City using his intellect, detective skills, and advanced technology instead of superhuman powers.
-
E.
Gotham
Gotham is a television crime drama series that explores the origins of Batman’s iconic allies and villains in a gritty, pre-Batman version of the infamous DC Comics city.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb267ec1081909a4e3e227d5bad01 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32546651481908dc6ab15b3344788 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.