Triple
T13154367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora, Texas |
E312544
|
entity |
| Predicate | hasCemetery |
P1496
|
FINISHED |
| Object | Aurora Cemetery |
E1085310
|
NE 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: Aurora Cemetery | Statement: [Aurora, Texas, hasCemetery, Aurora Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurora Cemetery Context triple: [Aurora, Texas, hasCemetery, Aurora Cemetery]
-
A.
Aurora Cemetery
chosen
Aurora Cemetery is a historic burial ground in Aurora, Texas, best known for its 1897 "alien grave" legend and status as a local heritage landmark.
-
B.
Hillcrest Cemetery
Hillcrest Cemetery is a historic burial ground in Holly Springs, Mississippi, noted for its 19th-century graves and significance to the town’s heritage.
-
C.
Holyhood Cemetery
Holyhood Cemetery is a historic burial ground located in Brookline, Massachusetts, known for its picturesque landscape and notable interments.
-
D.
Grandview Cemetery
Grandview Cemetery is a historic burial ground in Johnstown, Pennsylvania, known for memorializing many victims of the 1889 Johnstown Flood.
-
E.
River View Cemetery
River View Cemetery is a historic burial ground located in the riverside town of Essex, Connecticut, in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f0e59c8190b40213e999c75feb |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:11 p.m.