Triple
T16838921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanamikoji Street |
E409353
|
entity |
| Predicate | mainMaterialOfBuildings |
P112810
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Hanamikoji Street, mainMaterialOfBuildings, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMaterialOfBuildings Context triple: [Hanamikoji Street, mainMaterialOfBuildings, wood]
-
A.
مادة البناء
chosen
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
B.
materialOfFortifications
Indicates that a specified material is used in the construction or composition of certain fortifications.
-
C.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
D.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
E.
foundationMaterial
Indicates the material from which the foundation or base of something is constructed.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34ed7d48190a5f8d9f03a332a22 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.