Triple
T28916701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PT Semen Gresik |
E733385
|
entity |
| Predicate | materialTypeProduced |
P105675
|
FINISHED |
| Object | clinker |
—
|
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: clinker | Statement: [PT Semen Gresik, materialTypeProduced, clinker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialTypeProduced Context triple: [PT Semen Gresik, materialTypeProduced, clinker]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
C.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
D.
suppliedMaterialType
chosen
Indicates the type or category of material that is provided or supplied in a given context.
-
E.
featuresMaterialType
Indicates that an entity is characterized by or incorporates a specific type of material.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 8:15 a.m.