Triple
T17252210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East End (Houston) |
E418782
|
entity |
| Predicate | sawMajorGrowth |
P24285
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [East End (Houston), sawMajorGrowth, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawMajorGrowth Context triple: [East End (Houston), sawMajorGrowth, early 20th century]
-
A.
spurredGrowthOf
Indicates that one entity actively stimulated, accelerated, or caused an increase or expansion in another entity’s size, activity, or development.
-
B.
hadGrowthPeriod
chosen
Indicates that an entity experienced a specific span of time during which it underwent growth or development.
-
C.
sawMajorEscalation
Indicates that the relationship or situation experienced a significant and rapid increase in intensity, scale, or severity.
-
D.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
E.
hasCommercialGrowth
Indicates that an entity experiences or exhibits an increase in commercial activity, revenue, or market presence over time.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e694f788190a1c86e95264ed2fe |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.