Triple
T10215764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MC88110 |
E242436
|
entity |
| Predicate | numericDesignation |
P508
|
FINISHED |
| Object | 88110 |
—
|
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: 88110 | Statement: [MC88110, numericDesignation, 88110]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numericDesignation Context triple: [MC88110, numericDesignation, 88110]
-
A.
systemDesignation
Indicates that an entity has been assigned a specific formal label or identifier within a defined system or framework.
-
B.
numberOfDesignations
Indicates the count of distinct designations or titles associated with a given entity.
-
C.
letterOrNumberDesignation
Indicates that something is identified or labeled using a specific letter, number, or combination of both.
-
D.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
E.
numericCode
chosen
Indicates that an entity is associated with a specific numerical identifier or classification code.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:05 a.m.