Triple
T18272771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray, Iran |
E437654
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Toghrol Tower |
—
|
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: Toghrol Tower | Statement: [Ray, Iran, hasLandmark, Toghrol Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toghrol Tower Context triple: [Ray, Iran, hasLandmark, Toghrol Tower]
-
A.
Toghrol Tower
chosen
Toghrol Tower is a 12th-century Seljuk-era brick tomb tower and architectural landmark located in Rey, near Tehran, Iran.
-
B.
Kutafya Tower
Kutafya Tower is a historic 16th-century barbican tower of the Moscow Kremlin, known for guarding the main entrance and serving as a key defensive outwork of the fortress.
-
C.
Hidirlik Tower
Hidirlik Tower is a historic Roman-era stone tower in Antalya, Turkey, overlooking the old harbor and the Mediterranean Sea.
-
D.
Eger Minaret
Eger Minaret is a well-preserved 17th-century Ottoman-era minaret in Eger, Hungary, and one of the northernmost surviving examples of Islamic architecture in Europe.
-
E.
Atakule Tower
Atakule Tower is a prominent communications and observation tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5004f0e7c8190a7206e193012a2d3 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.