Triple
T36454737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwiya Tower |
E898120
|
entity |
| Predicate | unescoStateOfConservation |
P11695
|
FINISHED |
| Object | in danger |
—
|
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: in danger | Statement: [Malwiya Tower, unescoStateOfConservation, in danger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unescoStateOfConservation Context triple: [Malwiya Tower, unescoStateOfConservation, in danger]
-
A.
UNESCOStateOfConservation
chosen
Indicates that an entity documents or assesses the conservation status of a site as recognized by UNESCO.
-
B.
unescoDesignation
Indicates that an entity has been granted a specific designation or status by UNESCO.
-
C.
naturalHeritageStatus
Indicates the official conservation or protection designation assigned to a natural site or feature based on its environmental, ecological, or heritage value.
-
D.
UNESCODesignationBy
Indicates that an entity has been designated or recognized with a specific UNESCO status by a particular UNESCO body or authority.
-
E.
culturalDesignation
Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.