Triple
T19260464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordor Macula |
E481633
|
entity |
| Predicate | likelyComposedOf |
P51231
|
FINISHED |
| Object | processed hydrocarbons |
—
|
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: processed hydrocarbons | Statement: [Mordor Macula, likelyComposedOf, processed hydrocarbons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyComposedOf Context triple: [Mordor Macula, likelyComposedOf, processed hydrocarbons]
-
A.
likelyComposition
chosen
Indicates that one entity is probably a component or constituent part of another entity, though this compositional relationship is uncertain or inferred rather than definite.
-
B.
isComposedIn
Indicates that something is created, written, or formed within a particular context, medium, or framework.
-
C.
alsoComposedWith
Indicates that something is created or formed together with one or more additional components, highlighting a joint or complementary composition relationship.
-
D.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
-
E.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb890e7c8190beba407f63459382 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.