Triple
T24019073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 National League Championship Series |
E594765
|
entity |
| Predicate | cityOfCitizensBankPark |
P154883
|
FINISHED |
| Object | Philadelphia |
—
|
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: Philadelphia | Statement: [2010 National League Championship Series, cityOfCitizensBankPark, Philadelphia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfCitizensBankPark Context triple: [2010 National League Championship Series, cityOfCitizensBankPark, Philadelphia]
-
A.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
B.
oppositeBankCity
Indicates that one city is located on the opposite bank of a river from another city.
-
C.
hasCityOnBank
Indicates that a city is located on the bank of a particular river or body of water.
-
D.
clubCity
Indicates that a club is based in or associated with a particular city.
-
E.
riverBankLocality
Indicates that a locality is situated on or directly adjacent to the bank of a river.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a7b5848190849e7a0f035465b3 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:42 p.m.