Triple
T14151746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultaniyeh |
E350699
|
entity |
| Predicate | materialUsedInLandmark |
P112113
|
FINISHED |
| Object | brick |
—
|
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: brick | Statement: [Sultaniyeh, materialUsedInLandmark, brick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInLandmark Context triple: [Sultaniyeh, materialUsedInLandmark, brick]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
hasArchitecturalMaterial
chosen
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
C.
pyramidConstructionMaterial
Indicates the material from which a pyramid is built or primarily constructed.
-
D.
lighthouseConstructionMaterial
Indicates the material from which a lighthouse is built or primarily constructed.
-
E.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:57 a.m.