Triple
T15906416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Khazneh |
E385731
|
entity |
| Predicate | façadeWidth |
P121002
|
FINISHED |
| Object | approximately 25 meters |
—
|
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 25 meters | Statement: [Al-Khazneh, façadeWidth, approximately 25 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadeWidth Context triple: [Al-Khazneh, façadeWidth, approximately 25 meters]
-
A.
façadeHeight
Indicates the vertical extent or measurement of the front-facing exterior surface of a structure.
-
B.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
C.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
D.
façadeDesigner
Indicates that one entity is responsible for designing the façade (external face) of a building or structure for another entity.
-
E.
façadeOrientation
Indicates the directional orientation that a building’s façade faces relative to a reference (e.g., cardinal directions or a main street).
- F. None of above. chosen
Provenance (4 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:52 a.m.