Triple
T29931776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillary Clinton 2008 presidential campaign |
E760232
|
entity |
| Predicate | concessionSpeechLocation |
P179233
|
FINISHED |
| Object | Washington, D.C. |
—
|
NE NERFINISHED |
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: Washington, D.C. | Statement: [Hillary Clinton 2008 presidential campaign, concessionSpeechLocation, Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concessionSpeechLocation Context triple: [Hillary Clinton 2008 presidential campaign, concessionSpeechLocation, Washington, D.C.]
-
A.
inaugurationLocation
Indicates the place where an inauguration event occurs or is held.
-
B.
inauguralVenue
Indicates the location or facility where an event, organization, or activity was first officially launched or held.
-
C.
ceremonyLocation
Indicates the place where a ceremony is held or takes place.
-
D.
placeOfProclamation
Indicates the location where an official announcement, declaration, or proclamation is formally made.
-
E.
concessionBy
Indicates that one party grants, yields, or makes allowances to another, often accepting a demand, point, or condition despite initial opposition or differing interests.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 29, 2026, 6:18 p.m.