Triple
T3590331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directory (France) |
E76010
|
entity |
| Predicate | numberOfExecutives |
P49550
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Directory (France), numberOfExecutives, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExecutives Context triple: [Directory (France), numberOfExecutives, 5]
-
A.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
-
B.
firstOfficeHoldersCount
Indicates the number of individuals who initially held a particular office or position.
-
C.
numberOfDirectors
Indicates the total count of directors associated with a given entity.
-
D.
numberOfCommissioners
Indicates the specific count of commissioners associated with a given entity or context.
-
E.
officeHolderCountIncludes
Indicates that a specified count or total explicitly includes the number of individuals holding a particular office or position.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13c9514819096adf60b15016b8b |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.