Triple
T384691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Penguins |
E8753
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
PIT
PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
|
E48763
|
NE FINISHED |
How this triple was built (4 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: PIT | Statement: [Pittsburgh Penguins, abbreviation, PIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PIT Context triple: [Pittsburgh Penguins, abbreviation, PIT]
-
A.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
-
B.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
C.
Pytt
Pytt is an alternative spelling or variant form of the name "Pitt," which is associated with several notable people and institutions.
-
D.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
E.
Diamond Pitt
Diamond Pitt is the nickname of Thomas Pitt, a prominent 17th–18th century English merchant and politician famed for amassing great wealth through the diamond trade.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: PIT Triple: [Pittsburgh Penguins, abbreviation, PIT]
Generated description
PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PIT Target entity description: PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
-
A.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
-
B.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
C.
Pytt
Pytt is an alternative spelling or variant form of the name "Pitt," which is associated with several notable people and institutions.
-
D.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
E.
Diamond Pitt
Diamond Pitt is the nickname of Thomas Pitt, a prominent 17th–18th century English merchant and politician famed for amassing great wealth through the diamond trade.
- F. None of above. chosen
Provenance (5 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe95c7088190a1538eecb2ac6955 |
completed | March 1, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69a3fec1294c8190bff1dc2c8ec6bfb0 |
completed | March 1, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ff1db088819087542685fbad01ad |
completed | March 1, 2026, 8:55 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.