Triple
T15053369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberhausen |
E379422
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Iguala |
E258883
|
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: Iguala | Statement: [Oberhausen, hasTwinTown, Iguala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iguala Context triple: [Oberhausen, hasTwinTown, Iguala]
-
A.
Iguala
chosen
Iguala is a city in the Mexican state of Guerrero, historically significant as the birthplace of the Plan of Iguala that paved the way for Mexico’s independence.
-
B.
Gualaquiza
Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
-
C.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
-
D.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
E.
Zamboanguita
Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5bdeee48190949b0fe63eb6a21a |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.