Triple
T33588668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faddeev–Popov ghosts |
E860357
|
entity |
| Predicate | enterAs |
P180833
|
FINISHED |
| Object | additional fields in the gauge-fixed Lagrangian |
—
|
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: additional fields in the gauge-fixed Lagrangian | Statement: [Faddeev–Popov ghosts, enterAs, additional fields in the gauge-fixed Lagrangian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enterAs Context triple: [Faddeev–Popov ghosts, enterAs, additional fields in the gauge-fixed Lagrangian]
-
A.
entersBy
Indicates that one entity moves into or gains access to another entity through a specified entrance, route, or means.
-
B.
enteredInto
Indicates that one entity has initiated or become formally involved in a particular state, agreement, relationship, or situation with another entity.
-
C.
entryMode
Indicates the manner or method by which something is entered, recorded, or input into a system or context.
-
D.
enteredVia
Indicates that one entity came into or accessed another entity through a specified medium, route, or mechanism.
-
E.
entersFrom
Indicates that one entity moves into or arrives at a place, state, or context by coming from another specified source or location.
- F. None of above. chosen
Provenance (4 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: May 1, 2026, 1:40 a.m.