Triple
T11070009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damietta branch of the Nile |
E261719
|
entity |
| Predicate | hasSettlementOnBanks |
P57254
|
FINISHED |
| Object | Faraskur |
E756250
|
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: Faraskur | Statement: [Damietta branch of the Nile, hasSettlementOnBanks, Faraskur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faraskur Context triple: [Damietta branch of the Nile, hasSettlementOnBanks, Faraskur]
-
A.
Faraskur
chosen
Faraskur is a city in northern Egypt situated within the Nile Delta region.
-
B.
Aurai
Aurai are minor wind nymphs in Greek mythology associated with breezes and the lower atmosphere.
-
C.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
-
D.
Nobadia
Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
-
E.
Anfalas
Anfalas is a coastal region in the realm of Gondor in J.R.R. Tolkien’s Middle-earth, known for its long shoreline and scattered fishing and farming communities.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799221e848190b0f86ae3eb5e3e02 |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8b2d6e881909eeddf1e6427ad5c |
completed | April 18, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:26 p.m.