Triple
T11074101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Environmental & Applied Solutions segment |
E261819
|
entity |
| Predicate | hasCustomerNeed |
P21596
|
FINISHED |
| Object | regulatory compliance |
—
|
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: regulatory compliance | Statement: [Environmental & Applied Solutions segment, hasCustomerNeed, regulatory compliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerNeed Context triple: [Environmental & Applied Solutions segment, hasCustomerNeed, regulatory compliance]
-
A.
hasCustomerServices
Indicates that an entity provides or is associated with one or more customer service functions or offerings.
-
B.
hasCustomers
Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
-
C.
recognizedNeedFor
chosen
Indicates that one entity has identified or acknowledged the necessity or requirement for another entity or condition.
-
D.
needBased
Indicates that something is determined, allocated, or provided according to the level of need rather than uniform or fixed criteria.
-
E.
dialogRequirement
Indicates that a certain condition, piece of information, or interaction must occur within a dialog or conversation for a related action, state, or process to proceed or be considered valid.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994e32fc8190a6591d9e82b68f75 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.