Triple
T14715760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candia |
E345674
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Chandax |
E345675
|
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: Chandax | Statement: [Candia, namedAfter, Chandax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandax Context triple: [Candia, namedAfter, Chandax]
-
A.
Chandax
chosen
Chandax is the medieval name of the city now known as Heraklion, a major port and historical center on the island of Crete.
-
B.
Faqous
Faqous is a city in Egypt’s Nile Delta region, situated within the Sharqia Governorate and known for its agricultural surroundings and local trade.
-
C.
Chalus
Chalus is a coastal city in northern Iran on the Caspian Sea, known for its scenic landscapes and as a popular tourist destination.
-
D.
Balasinor
Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
-
E.
Marsa
Marsa is a town in Malta located on the shores of the Grand Harbour, known historically for its port and industrial facilities.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.