Triple
T31468852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Telmo |
E802796
|
entity |
| Predicate | hasDevoteeGroup |
P169214
|
FINISHED |
| Object | sailors |
—
|
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: sailors | Statement: [Saint Telmo, hasDevoteeGroup, sailors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevoteeGroup Context triple: [Saint Telmo, hasDevoteeGroup, sailors]
-
A.
hasDevoteeCommunity
chosen
Indicates that an entity has an associated group of followers or devotees who collectively engage with, support, or revere it.
-
B.
hasDevoteeType
Indicates that an entity has a devotee characterized by a specific type or category of devotion.
-
C.
hasDeityGroup
Indicates a relationship where an entity is associated with, or belongs to, a particular group or pantheon of deities.
-
D.
hasSupporterGroup
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
-
E.
hasClergyLikeGroup
Indicates that an entity possesses or is associated with a group functioning in a clergy-like or religious-leadership role.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 30, 2026, 9:25 p.m.