Triple
T29429988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pilgrimage to Hierapolis |
E746400
|
entity |
| Predicate | involvedTravelFrom |
P27471
|
FINISHED |
| Object | various parts of Syria |
—
|
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: various parts of Syria | Statement: [pilgrimage to Hierapolis, involvedTravelFrom, various parts of Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedTravelFrom Context triple: [pilgrimage to Hierapolis, involvedTravelFrom, various parts of Syria]
-
A.
involvedTravelBetween
Indicates a relationship where an entity participates in or is associated with travel occurring between two specified locations.
-
B.
involvesVoyageFrom
Indicates a relationship where an event, action, or situation includes a voyage that originates from a specified starting location.
-
C.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
D.
journeyFrom
chosen
Indicates that an entity undertakes or originates a journey starting from a specified location or source.
-
E.
travelsFor
Indicates that one entity moves from place to place on behalf of, or for the benefit or purpose of, another entity or objective.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 28, 2026, 3:12 p.m.