Triple
T36600462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLEOPATRA |
E902899
|
entity |
| Predicate | targetAbbreviation |
P99168
|
FINISHED |
| Object | HER2 |
—
|
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: HER2 | Statement: [CLEOPATRA, targetAbbreviation, HER2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAbbreviation Context triple: [CLEOPATRA, targetAbbreviation, HER2]
-
A.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
-
B.
typeOfAbbreviation
Indicates that one term is an abbreviation of a specific type or category (e.g., acronym, initialism) of another expression.
-
C.
ownerAbbreviation
Indicates that one entity is an abbreviated or shortened form of the name or designation of another entity that owns or is primarily associated with it.
-
D.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
E.
abbreviationOrShortForm
chosen
Indicates that one term is an abbreviation or shortened form of another term.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: May 3, 2026, 4:11 p.m.