Triple
T30993176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O.K. Corral livery and stable |
E789719
|
entity |
| Predicate | streetAddressContext |
P12095
|
FINISHED |
| Object | historic district of Tombstone |
—
|
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: historic district of Tombstone | Statement: [O.K. Corral livery and stable, streetAddressContext, historic district of Tombstone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetAddressContext Context triple: [O.K. Corral livery and stable, streetAddressContext, historic district of Tombstone]
-
A.
streetAddress
Indicates the specific location of an entity in terms of its numbered building and street name within a postal address.
-
B.
streetAddressNow
Indicates that an entity’s current street address is the specified location.
-
C.
addressContext
chosen
Indicates the situational or conversational setting in which an address (such as a location, contact, or reference) is used or interpreted.
-
D.
locationAddressed
Indicates that a communication, message, or action is specifically directed to or intended for a particular location or address.
-
E.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 8:56 p.m.