Triple
T17048393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uaxactún |
E413628
|
entity |
| Predicate | distanceFromTikal |
P125653
|
FINISHED |
| Object | approximately 23 kilometers north |
—
|
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 23 kilometers north | Statement: [Uaxactún, distanceFromTikal, approximately 23 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTikal Context triple: [Uaxactún, distanceFromTikal, approximately 23 kilometers north]
-
A.
distanceToElTajin
Indicates the measured spatial distance between a given entity and the location of El Tajín.
-
B.
distanceToUxmal
Indicates the spatial distance between a given entity or location and the site of Uxmal.
-
C.
distanceToHampi
Indicates the measured or specified distance between a given entity or location and Hampi.
-
D.
distanceFromTegucigalpa
Indicates the spatial distance between a given location and the city of Tegucigalpa.
-
E.
distanceToTulum
Indicates the measured or relative distance between a given entity or location and Tulum.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.