Triple
T7863209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estado Libre y Soberano de Hidalgo |
E182550
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Actopan |
E165690
|
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: Actopan | Statement: [Estado Libre y Soberano de Hidalgo, hasMunicipality, Actopan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Actopan Context triple: [Estado Libre y Soberano de Hidalgo, hasMunicipality, Actopan]
-
A.
Actopan
chosen
Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Celebrex
Celebrex is a prescription nonsteroidal anti-inflammatory drug (NSAID) used to relieve pain and inflammation in conditions such as arthritis.
-
D.
Auscitain
An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
-
E.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bfd8a4819093c2ef6d47891a68 |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b49a7288190ae6758647fb35ac9 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:54 p.m.