Triple
T38136820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Point (naming convention) |
E952371
|
entity |
| Predicate | hasSemanticComponents |
P195482
|
FINISHED |
| Object | "Fort" (military installation) |
—
|
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: "Fort" (military installation) | Statement: [Fort Point (naming convention), hasSemanticComponents, "Fort" (military installation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemanticComponents Context triple: [Fort Point (naming convention), hasSemanticComponents, "Fort" (military installation)]
-
A.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
B.
hasSemanticsDefinedBy
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
C.
hasSemanticRole
Indicates that one entity functions as a specific semantic role (such as agent, patient, or instrument) in relation to another entity or event.
-
D.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
-
E.
memberSemantic
chosen
Indicates that one entity is a semantic member or conceptual component of another, capturing a part-of or inclusion relationship at the meaning or concept level rather than purely physical or structural membership.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00be8ee4bc8190b795d9606f0e490c |
completed | May 10, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_6a00bde163c88190867104bd08cac2ee |
completed | May 10, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:21 p.m.