Triple
T3276583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diyarbakır |
E68771
|
entity |
| Predicate | cityWallsFeature |
P11105
|
FINISHED |
| Object | numerous towers and bastions |
—
|
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: numerous towers and bastions | Statement: [Diyarbakır, cityWallsFeature, numerous towers and bastions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityWallsFeature Context triple: [Diyarbakır, cityWallsFeature, numerous towers and bastions]
-
A.
hasPeaceWalls
Indicates that there exist physical barriers or walls separating groups or areas to reduce or prevent conflict or violence between them.
-
B.
hasHistoricTownWallsRemnants
Indicates that remnants of historic town walls are present and associated with the subject entity.
-
C.
isFortifiedCity
chosen
Indicates that a city is strengthened with defensive structures or fortifications, such as walls, ramparts, or similar protective works.
-
D.
wallFeature
Indicates that one entity functions as a structural or design feature associated with a wall of another entity.
-
E.
cityHallOf
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.