Triple
T22187498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rome Derby |
E548332
|
entity |
| Predicate | hasNeutralVenueCharacteristics |
P146761
|
FINISHED |
| Object | both clubs share same stadium |
—
|
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: both clubs share same stadium | Statement: [Rome Derby, hasNeutralVenueCharacteristics, both clubs share same stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeutralVenueCharacteristics Context triple: [Rome Derby, hasNeutralVenueCharacteristics, both clubs share same stadium]
-
A.
usesNeutralVenueForFinal
Indicates that the final match or event in a competition is held at a neutral venue, not the home ground of either participating side.
-
B.
isNeutralSite
Indicates that a location serves as an impartial or non-aligned site for an interaction, event, or relationship between parties.
-
C.
neutralVenueCountry
Indicates that an event or interaction takes place in a country that is neutral with respect to the parties involved.
-
D.
isNeutralUnder
Indicates that one entity does not affect, alter, or interact with another in a way that changes its state, value, or behavior.
-
E.
neutralSiteCity
Indicates that a site is located in a city that is considered neutral with respect to the entities or context involved.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aaa32288190830f6dfc626fb26a |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.