Triple
T6287303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIP 21421 |
E140930
|
entity |
| Predicate | hasHRNumber |
P24823
|
FINISHED |
| Object | HR 1457 |
—
|
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: HR 1457 | Statement: [HIP 21421, hasHRNumber, HR 1457]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHRNumber Context triple: [HIP 21421, hasHRNumber, HR 1457]
-
A.
hrNumber
chosen
Indicates a unique human resources identification number assigned to an individual or position within an organization.
-
B.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
C.
laborNumber
Indicates a relationship where a specific labor or work assignment is identified or referenced by a unique number.
-
D.
hasNumberWithinWork
Indicates that a specific number or numeric value is contained, referenced, or used within a particular work (such as a document, publication, or creative piece).
-
E.
hadKontorIn
Indicates that an entity maintained or operated a commercial office or trading post in a specified location.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ff9f74819088dc603f56fc930c |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.