Triple
T26453244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coyuca de Benítez |
E665412
|
entity |
| Predicate | distanceToAcapulco |
P196454
|
FINISHED |
| Object | approximately 30–40 kilometers northwest |
—
|
LITERAL 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: approximately 30–40 kilometers northwest | Statement: [Coyuca de Benítez, distanceToAcapulco, approximately 30–40 kilometers northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAcapulco Context triple: [Coyuca de Benítez, distanceToAcapulco, approximately 30–40 kilometers northwest]
-
A.
distanceToCancun
Indicates the measured or calculated spatial distance between a given entity and the location of Cancun.
-
B.
distanceFromPuertoVallarta
Indicates the measured distance between an entity and the location of Puerto Vallarta.
-
C.
distanceFromMexicoCity
Indicates the measured distance between an entity’s location and Mexico City.
-
D.
distanceFromTijuana
Indicates the measured spatial distance between a given place or entity and the city of Tijuana.
-
E.
distanceFromOaxacaCity
Indicates the spatial distance between a given place and Oaxaca City.
- F. None of above. chosen
Provenance (4 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
| PDg | Predicate description generation | batch_69fe38bc3e9c8190838430b22b82503f |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 27, 2026, 12:07 a.m.