Triple
T34711190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NESCO IT Park |
E1000648
|
entity |
| Predicate | typeOfTenants |
P18037
|
FINISHED |
| Object | technology firms |
—
|
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: technology firms | Statement: [NESCO IT Park, typeOfTenants, technology firms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTenants Context triple: [NESCO IT Park, typeOfTenants, technology firms]
-
A.
tenantType
chosen
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
B.
tenantsSupport
Indicates that one or more tenants provide backing, endorsement, or assistance to another entity or cause.
-
C.
numberOfTenants
Indicates the quantity of tenants associated with a given entity or property.
-
D.
tenantsEndUse
Indicates that the specified end use or consumption activity is carried out by tenants rather than by the property owner or other parties.
-
E.
tenantsIncluded
Indicates that certain tenants are part of, covered by, or associated with a specified context, agreement, or resource.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a015ff02814819094806517fc4c69fa |
completed | May 11, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_6a0154ddd3c48190b85f9f48731cfd8f |
completed | May 11, 2026, 4:02 a.m. |
Created at: May 3, 2026, 3:59 p.m.