Triple
T696902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Wall of China |
E13913
|
entity |
| Predicate | constructedFromMaterial |
P11047
|
FINISHED |
| Object | rammed earth |
—
|
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: rammed earth | Statement: [Great Wall of China, constructedFromMaterial, rammed earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructedFromMaterial Context triple: [Great Wall of China, constructedFromMaterial, rammed earth]
-
A.
builtFrom
chosen
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
B.
constructedAs
Indicates that one entity is built, formed, or created in the manner, structure, or configuration specified by another entity.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
E.
constructedDuring
Indicates that one entity was built or created within the time period defined by another entity or event.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c8055881909565ebde2be8fd7a |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.