Triple
T35158057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palatine Township |
E1015181
|
entity |
| Predicate | hasServiceFacility |
P12416
|
FINISHED |
| Object | township office building |
—
|
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: township office building | Statement: [Palatine Township, hasServiceFacility, township office building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceFacility Context triple: [Palatine Township, hasServiceFacility, township office building]
-
A.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
B.
hasFacilityFunction
Indicates that a facility performs, supports, or is designated for a particular function or operational role.
-
C.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
D.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
E.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: May 3, 2026, 4:02 p.m.