Triple
T6964192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoğlu |
E161445
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Pera |
E225870
|
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: Pera | Statement: [Beyoğlu, historicalName, Pera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pera Context triple: [Beyoğlu, historicalName, Pera]
-
A.
Pera
chosen
Pera was a prominent Genoese trading quarter and colony located across the Golden Horn from Constantinople, serving as a key hub for Mediterranean and Black Sea commerce.
-
B.
Pepis
Pepis is an alternative historical spelling of the surname Pepys, most famously associated with the 17th-century English diarist Samuel Pepys.
-
C.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
D.
La Pera
La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
-
E.
Kosta
Kosta is a diminutive form of the given name Konstantin, commonly used in various Slavic languages.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf2b7bc8190a3e73f3b24f0352b |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a0e5bc819098206940fc3ac623 |
completed | March 28, 2026, 4:27 a.m. |
Created at: March 27, 2026, 2:30 p.m.