Triple
T8719600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peer of France |
E206977
|
entity |
| Predicate | originalNumberOfPeers |
P9077
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Peer of France, originalNumberOfPeers, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNumberOfPeers Context triple: [Peer of France, originalNumberOfPeers, 12]
-
A.
originalNumberOfMembers
chosen
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
B.
numberOfHosts
Indicates the total count of distinct hosts associated with or involved in a given entity or event.
-
C.
numberOfReceivers
Indicates the quantity of distinct receivers associated with or involved in a given entity, event, or transaction.
-
D.
previousNumberOfMembers
Indicates the number of members an entity had at an earlier or prior point in time.
-
E.
numberOfAgents
Indicates the quantity of agents involved in or associated with a given entity or situation.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d014e208190a4c6055901580d0c |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.