Triple
T14035203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IT-LT |
E337693
|
entity |
| Predicate | componentSeparator |
P86777
|
FINISHED |
| Object | hyphen |
—
|
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: hyphen | Statement: [IT-LT, componentSeparator, hyphen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentSeparator Context triple: [IT-LT, componentSeparator, hyphen]
-
A.
separators
chosen
Indicates that one entity divides, distinguishes, or creates a boundary between two or more other entities.
-
B.
separatesAt
Indicates that one entity divides or splits another entity into distinct parts at a specific point, boundary, or location.
-
C.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
-
D.
separatedFromSerialBy
Indicates that one entity is positioned with a serial element (such as a serial number or serial identifier) acting as a separator between it and another entity.
-
E.
decimalMark
Indicates the symbol or notation used to separate the integer part from the fractional part in a numeral.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fac71188190a586049405f1071e |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.