Triple
T36798753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Thomas |
E909261
|
entity |
| Predicate | traditionallyTraveledTo |
P14164
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Saint Thomas, traditionallyTraveledTo, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyTraveledTo Context triple: [Saint Thomas, traditionallyTraveledTo, India]
-
A.
visitedCountry
chosen
Indicates that an entity has traveled to and spent time in a particular country.
-
B.
traveledToBy
Indicates that an entity has been traveled to or visited by another entity.
-
C.
oftenTravelsTo
Indicates that one entity frequently goes to or visits another location or entity.
-
D.
travelledExtensivelyIn
Indicates that an entity has spent a significant amount of time visiting many places within a particular location or region.
-
E.
numberOfCountriesVisited
Indicates the total count of distinct countries that an entity has visited.
- F. None of above.
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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:12 p.m.