Triple
T5068062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain House |
E114191
|
entity |
| Predicate | originalPlanPopulationCapacity |
P28148
|
FINISHED |
| Object | approximately 44,000 |
—
|
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: approximately 44,000 | Statement: [Mountain House, originalPlanPopulationCapacity, approximately 44,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPlanPopulationCapacity Context triple: [Mountain House, originalPlanPopulationCapacity, approximately 44,000]
-
A.
originalPlan
Indicates that one entity is the initial or primary plan or intended course of action associated with another entity.
-
B.
originalCapacity
chosen
Indicates the initial or designed maximum amount or volume that something can hold, process, or produce before any changes or adjustments.
-
C.
hasPopulationScale
Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
-
D.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
E.
formerCapacity
Indicates that an entity previously held a particular role, position, or function but no longer does so.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749dd1a08190858fa739df024eb4 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.