Triple
T19468891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troy II |
E487068
|
entity |
| Predicate | hasAccessStructure |
P136044
|
FINISHED |
| Object | monumental gate ramp |
—
|
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: monumental gate ramp | Statement: [Troy II, hasAccessStructure, monumental gate ramp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessStructure Context triple: [Troy II, hasAccessStructure, monumental gate ramp]
-
A.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
B.
hasAccessTowards
Indicates that one entity possesses the ability, permission, or means to reach, use, or interact with another entity or resource.
-
C.
accessStructure
Indicates that one entity has the ability, permission, or means to reach, use, or interact with the structure represented by the other entity.
-
D.
hasAccessModel
Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
-
E.
hasHumanAccess
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.