Triple
T9774022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Cemeteries |
E237200
|
entity |
| Predicate | refersToPlaceWithCharacteristic |
P46334
|
FINISHED |
| Object | concentration of burial sites |
—
|
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: concentration of burial sites | Statement: [Village of Cemeteries, refersToPlaceWithCharacteristic, concentration of burial sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPlaceWithCharacteristic Context triple: [Village of Cemeteries, refersToPlaceWithCharacteristic, concentration of burial sites]
-
A.
placeDescribed
Indicates that one entity provides a description or account of a particular place or location.
-
B.
refersToGeographicFeature
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
-
C.
notableLocationFeature
chosen
Indicates that a location is characterized or distinguished by a particular notable physical or contextual feature.
-
D.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
E.
placeType
Indicates the type or category of place associated with an entity (e.g., city, park, building).
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f6b8348190bd05b94519de9bc9 |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.