Triple
T1305385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EGGP |
E27862
|
entity |
| Predicate | prefix |
P97
|
FINISHED |
| Object | EG |
—
|
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: EG | Statement: [EGGP, prefix, EG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefix Context triple: [EGGP, prefix, EG]
-
A.
premise
Indicates that a statement or proposition provides the foundational assumption or starting point from which a conclusion or inference is logically derived.
-
B.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
C.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
-
D.
precondition
Indicates that one event, state, or condition must be true or occur before another event, state, or condition can validly or successfully take place.
-
E.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13524d481909e8f5bb2ab91f6e4 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.