Triple
T20209191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Grijalva |
E493440
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Villahermosa |
—
|
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: Villahermosa | Statement: [Río Grijalva, flowsNear, Villahermosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villahermosa Context triple: [Río Grijalva, flowsNear, Villahermosa]
-
A.
Villahermosa
chosen
Villahermosa is the capital and largest city of the Mexican state of Tabasco, known as a regional hub for oil, commerce, and culture in southeastern Mexico.
-
B.
Tampico Madero
Tampico Madero is a Mexican professional football club traditionally based in the port city of Tampico, Tamaulipas.
-
C.
Veracruz City
Veracruz City is a historic port city on the Gulf of Mexico known as one of Mexico’s oldest and most important maritime and commercial hubs.
-
D.
Ciudad Mante
Ciudad Mante is a city in the southern part of the Mexican state of Tamaulipas known for its sugarcane industry and proximity to natural attractions such as caves, rivers, and waterfalls.
-
E.
Tuxtla Gutiérrez
Tuxtla Gutiérrez is the capital and largest city of the Mexican state of Chiapas, known as a regional political, economic, and transportation hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d94999c8190b67051cb0acea213 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.