Triple
T7462739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierp Municipality |
E176291
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Tierp |
E146819
|
NE 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: Tierp | Statement: [Tierp Municipality, administrativeCenter, Tierp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tierp Context triple: [Tierp Municipality, administrativeCenter, Tierp]
-
A.
Tierp
chosen
Tierp is a locality and municipal seat in east-central Sweden known for its rural surroundings and motorsport activities, including the Tierp Arena drag racing track.
-
B.
Tierney
Tierney is an Irish-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
C.
Tipner
Tipner is a residential and industrial suburb in the northwest of Portsmouth, England, known for its waterfront location and proximity to major transport routes.
-
D.
Tupe
Tupe is a small Andean town in Peru known for preserving the unique Jaqaru indigenous language and culture.
-
E.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c5f1f408190a7d42abe28605ddb |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:39 p.m.