Triple
T20209170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Grijalva |
E493440
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tabasco |
—
|
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: Tabasco | Statement: [Río Grijalva, locatedIn, Tabasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabasco Context triple: [Río Grijalva, locatedIn, Tabasco]
-
A.
Tabasco
chosen
Tabasco is a southeastern Mexican state along the Gulf of Mexico, known for its tropical climate, petroleum industry, and rich wetlands.
-
B.
Chiles
Chiles is the surname of Lawton Chiles, a prominent American politician who served as a U.S. Senator and Governor of Florida.
-
C.
Cholula
Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
-
D.
Cayenne
Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
-
E.
El Habanero
El Habanero was a pioneering 19th-century Cuban newspaper founded by priest and intellectual Félix Varela that advocated independence and liberal reforms.
- 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.