Triple
T14663425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diyarbakır Fortress and Hevsel Gardens Cultural Landscape |
E344301
|
entity |
| Predicate | hasCityWallTowers |
P22477
|
FINISHED |
| Object | approximately 82 towers |
—
|
LITERAL 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: approximately 82 towers | Statement: [Diyarbakır Fortress and Hevsel Gardens Cultural Landscape, hasCityWallTowers, approximately 82 towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityWallTowers Context triple: [Diyarbakır Fortress and Hevsel Gardens Cultural Landscape, hasCityWallTowers, approximately 82 towers]
-
A.
hasCityWallName
Indicates that a city wall is associated with a specific name or designation.
-
B.
hasHistoricTownWallsRemnants
Indicates that remnants of historic town walls are present and associated with the subject entity.
-
C.
followsOldCityWall
Indicates that something runs along or traces the path of an old city wall.
-
D.
hasFortifications
chosen
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
E.
eraOfMajorFortification
Indicates the historical period during which a structure or site underwent its primary or most significant phase of fortification.
- F. None of above.
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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.