Triple
T60107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In God We Trust |
E1191
|
entity |
| Predicate | positionInPhrase |
P1082
|
FINISHED |
| Object | God is second word |
—
|
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: God is second word | Statement: [In God We Trust, positionInPhrase, God is second word]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInPhrase Context triple: [In God We Trust, positionInPhrase, God is second word]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
-
C.
namePosition
chosen
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
-
D.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
E.
discPosition
Indicates the spatial or ordinal placement of a disc relative to a reference point or within a set or structure.
- 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.