Triple
T1010218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brookhaven National Laboratory |
E21803
|
entity |
| Predicate | staffSize |
P23565
|
FINISHED |
| Object | over 2,500 employees |
—
|
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: over 2,500 employees | Statement: [Brookhaven National Laboratory, staffSize, over 2,500 employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: staffSize Context triple: [Brookhaven National Laboratory, staffSize, over 2,500 employees]
-
A.
rosterSize
Indicates the total number of individuals included on a given roster.
-
B.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
C.
crewCountApproximate
Indicates that the relationship specifies an estimated or approximate number of crew members associated with an entity.
-
D.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
-
E.
staffIncluded
Indicates that staff members are included or provided as part of the associated entity, service, or arrangement.
- F. None of above. chosen
Provenance (4 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:41 p.m.