Triple
T36869485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacu Roșu |
E911185
|
entity |
| Predicate | hasColorationReason |
P23298
|
FINISHED |
| Object | sediments from surrounding rocks |
—
|
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: sediments from surrounding rocks | Statement: [Lacu Roșu, hasColorationReason, sediments from surrounding rocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorationReason Context triple: [Lacu Roșu, hasColorationReason, sediments from surrounding rocks]
-
A.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
B.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
C.
hasColorIssues
Indicates that an entity exhibits problems, defects, or inconsistencies related to its color or coloration.
-
D.
containsColoring
Indicates that one entity includes or has applied to it the coloring specified by another entity.
-
E.
hasPigment
Indicates that one entity contains, incorporates, or is characterized by a particular pigment.
- 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.