Triple
T16277215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westland Shopping Center |
E395162
|
entity |
| Predicate | hasCityNamedAfterIt |
P26180
|
FINISHED |
| Object | Westland, Michigan |
—
|
NE NERFINISHED |
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: Westland, Michigan | Statement: [Westland Shopping Center, hasCityNamedAfterIt, Westland, Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityNamedAfterIt Context triple: [Westland Shopping Center, hasCityNamedAfterIt, Westland, Michigan]
-
A.
hasCapitalNamedAfter
Indicates that one entity serves as the capital of another entity and that this capital is named after the other entity.
-
B.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
C.
cityNamedAfter
chosen
Indicates that one city derives its name from or was named in honor of another entity, such as a person, place, or concept.
-
D.
hasAirportNamedAfter
Indicates that an airport is named in honor of or after a particular person, place, or entity.
-
E.
hasPlaceNamesakeIn
Indicates that something is named after a particular place or location.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460ea5a4819099f779288a754c8d |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.