Triple
T21753400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 128 technology cluster |
E536970
|
entity |
| Predicate | growthModelCharacterizedBy |
P37890
|
FINISHED |
| Object | strong ties to established corporations |
—
|
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: strong ties to established corporations | Statement: [Route 128 technology cluster, growthModelCharacterizedBy, strong ties to established corporations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growthModelCharacterizedBy Context triple: [Route 128 technology cluster, growthModelCharacterizedBy, strong ties to established corporations]
-
A.
growthType
Indicates the manner or pattern in which something develops or increases over time.
-
B.
growthMethod
Indicates the method or process by which something increases, develops, or expands over time.
-
C.
growthPolicy
Indicates a rule or strategy that governs how something is allowed or expected to grow or expand over time.
-
D.
growthStatus
Indicates the current stage or condition of development or progress of an entity over time.
-
E.
growthProperty
chosen
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).
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8c57508190b45fb974ef0ded10 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.