Triple
T37823664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | corpuscles of Pacini |
E942991
|
entity |
| Predicate | mostDenseIn |
P66957
|
FINISHED |
| Object | fingers |
—
|
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: fingers | Statement: [corpuscles of Pacini, mostDenseIn, fingers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostDenseIn Context triple: [corpuscles of Pacini, mostDenseIn, fingers]
-
A.
isOneOfMostDenselyPopulatedAreasIn
Indicates that an area ranks among the locations with the highest population density within a specified region or context.
-
B.
isMostDenselyPopulatedRegionIn
Indicates that a region has the highest population density compared to all other regions within a specified larger area or context.
-
C.
largestConcentrationIn
chosen
Indicates that something has its highest density, amount, or presence within a specified location or group compared to all other locations or groups.
-
D.
isDenseIn
Indicates that one set or subset is distributed so that its elements come arbitrarily close to every point of another set or space, leaving no gaps in that space.
-
E.
isDenselyPopulated
Indicates that a place has a high concentration of inhabitants relative to its area.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.