Triple
T35293727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legnanesi |
E1019297
|
entity |
| Predicate | useForResidents |
P57590
|
FINISHED |
| Object | born in Legnano |
—
|
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: born in Legnano | Statement: [Legnanesi, useForResidents, born in Legnano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useForResidents Context triple: [Legnanesi, useForResidents, born in Legnano]
-
A.
usedForResidentsOf
chosen
Indicates that something is intended to be used by, or serves the needs of, people who reside in a particular place or region.
-
B.
intendedResidents
Indicates the people or entities for whom a place, dwelling, or facility is designed or meant to be occupied by.
-
C.
coResident
Indicates that two or more entities live in the same residence or dwelling at the same time.
-
D.
usedAtResidence
Indicates that an object, resource, or service is utilized within or for the purposes of a particular residence.
-
E.
usedForPeopleOfRegion
Indicates that something is intended to be used by, or is suitable for, people from a specific geographic region.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7901ae65c819092f17f92d7b2e561 |
completed | May 3, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.