Triple
T13273708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countrywide Financial |
E316131
|
entity |
| Predicate | employeeCountPeak |
P80887
|
FINISHED |
| Object | tens of thousands of 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: tens of thousands of employees | Statement: [Countrywide Financial, employeeCountPeak, tens of thousands of employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employeeCountPeak Context triple: [Countrywide Financial, employeeCountPeak, tens of thousands of employees]
-
A.
numberOfEmployeesAtPeak
chosen
Indicates the highest recorded count of employees that an entity had at any point in time.
-
B.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
C.
deploymentPeakNumber
Indicates the maximum number of deployments (or deployment instances) reached during a specified period or under given conditions.
-
D.
teamCountAtPeak
Indicates the number of team members involved at the highest or peak point of activity, size, or performance.
-
E.
populationAtPeak
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.