Triple
T37513557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act III |
E932573
|
entity |
| Predicate | townHub |
P188189
|
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, townHub, Kurast Docks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: townHub Context triple: [Act III, townHub, Kurast Docks]
-
A.
communityActivity
Indicates that an entity participates in, contributes to, or is involved with activities organized for or by a community.
-
B.
teamUpWith
Indicates forming a cooperative partnership or alliance with another entity to work together toward a shared goal.
-
C.
clubhouseNeighborhood
Indicates that a clubhouse is located within or associated with a particular neighborhood.
-
D.
coOrganizer
Indicates a relationship where an entity jointly organizes an event, activity, or project together with one or more other organizers.
-
E.
communityOrganizations
Indicates that there is an association or involvement between entities and one or more community-based organizations or groups.
- 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_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.