Triple
T10627446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermes Propylaios |
E250358
|
entity |
| Predicate | associatedWithPlaceType |
P89338
|
FINISHED |
| Object | gates |
—
|
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: gates | Statement: [Hermes Propylaios, associatedWithPlaceType, gates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPlaceType Context triple: [Hermes Propylaios, associatedWithPlaceType, gates]
-
A.
associatedWithLocality
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
-
B.
connectedToPlace
chosen
Indicates that one entity has a spatial, functional, or relational link or association with a specific place.
-
C.
relatedPlace
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
-
D.
associatedWithAirportType
Indicates that an entity has a connection or linkage to a specific category or type of airport.
-
E.
associatedSiteType
Indicates the type or category of site with which an entity is associated.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df8207f08190a6362a8ba00988b2 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:55 p.m.