Triple
T37513558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act III |
E932573
|
entity |
| Predicate | hasTownPortalDestination |
P194886
|
FINISHED |
| Object | Kurast Docks |
—
|
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: Kurast Docks | Statement: [Act III, hasTownPortalDestination, Kurast Docks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTownPortalDestination Context triple: [Act III, hasTownPortalDestination, Kurast Docks]
-
A.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
-
B.
hasPilgrimageDestinationAtEnd
Indicates that an entity’s journey or process culminates at a specific location regarded as its pilgrimage destination.
-
C.
containsPilgrimageTown
Indicates that a place or region includes within its boundaries a town that serves as a destination or center for religious pilgrimage.
-
D.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
-
E.
hasAccessToTown
Indicates that one entity is permitted or able to enter, use, or otherwise access a particular town.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 3, 2026, 4:17 p.m.