Triple
T32713255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 NBA Finals |
E836452
|
entity |
| Predicate | venueCityGame4 |
P123269
|
FINISHED |
| Object |
San Francisco
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, and historic cable cars.
|
E242
|
NE FINISHED |
How this triple was built (3 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: San Francisco | Statement: [1967 NBA Finals, venueCityGame4, San Francisco]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: San Francisco Triple: [1967 NBA Finals, venueCityGame4, San Francisco]
Generated description
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, and historic cable cars.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueCityGame4 Context triple: [1967 NBA Finals, venueCityGame4, San Francisco]
-
A.
venueCityGame3
Indicates the city where the third game in a series or matchup is held as the venue.
-
B.
venueCityGame2
Indicates that a game (specifically the second game in a series or context) takes place in or is hosted by a particular city as its venue.
-
C.
venueCityGame1
Indicates that the venue associated with the first game is located in a particular city.
-
D.
hostCityGame4
chosen
Indicates the city that served as the host location for game 4 of a series or event.
-
E.
cityOfGames
Indicates that a location is recognized as a major center or hub for games, gaming activities, or the games industry.
- F. None of above.
Provenance (6 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34bce02b708190b7f6642b5a954792 |
completed | June 19, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a34bdc35a24819088892cb8a675a225 |
completed | June 19, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34be6eb1808190a6bc47b8d79489ed |
completed | June 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:11 a.m.