Triple
T17945631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coast City |
E448693
|
entity |
| Predicate | threatenedBy |
P956
|
FINISHED |
| Object | Mongul |
—
|
NE NERFINISHED |
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: Mongul | Statement: [Coast City, threatenedBy, Mongul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mongul Context triple: [Coast City, threatenedBy, Mongul]
-
A.
Mongul
chosen
Mongul is a powerful and ruthless intergalactic warlord in DC Comics, often depicted as a major adversary of Superman and the Green Lantern Corps.
-
B.
Tsaagan
Tsaagan is a genus of small, carnivorous dromaeosaurid theropod dinosaur known from Late Cretaceous deposits of Mongolia.
-
C.
Baiju Noyan
Baiju Noyan was a prominent 13th-century Mongol general who led major campaigns in the Middle East and Anatolia during the expansion of the Mongol Empire.
-
D.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
E.
Monga
Monga is the historical name of the area now known as Wanhua District, one of the oldest urban neighborhoods in Taipei, Taiwan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad990b948190a5e6fd50a15f64e3 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.