Triple
T9524736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | substantia nigra |
E229730
|
entity |
| Predicate | isBilateral |
P88544
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [substantia nigra, isBilateral, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBilateral Context triple: [substantia nigra, isBilateral, true]
-
A.
isBicolor
Indicates that something consists of or displays two distinct colors.
-
B.
isBilingual
Indicates that an entity is able to communicate fluently in two distinct languages.
-
C.
bilateralRelation
Indicates a mutual or two-way relationship between two entities, where each affects or interacts with the other.
-
D.
isBilateralMissionBetween
Indicates a mission or undertaking that is jointly conducted between exactly two parties or entities, reflecting a mutual or reciprocal relationship.
-
E.
isBinational
Indicates that an entity is associated with or recognized by two distinct nations, such as holding dual nationality or operating under the authority of two countries.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9899f99481908d374528716027f8 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89f1d748190bf3636bea28d8a37 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:59 p.m.