Triple
T6590681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Islip station |
E159345
|
entity |
| Predicate | code |
P1537
|
FINISHED |
| Object |
CI
CI is the station code used to identify Central Islip station on the Long Island Rail Road.
|
E599601
|
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: CI | Statement: [Central Islip station, code, CI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CI Context triple: [Central Islip station, code, CI]
-
A.
CI
CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
-
B.
CI
CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
-
C.
CI
CI is the common abbreviation for the Coppa Italia, Italy’s premier national football cup competition.
-
D.
IC
IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
-
E.
IC
IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
- 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: CI Triple: [Central Islip station, code, CI]
Generated description
CI is the station code used to identify Central Islip station on the Long Island Rail Road.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CI Target entity description: CI is the station code used to identify Central Islip station on the Long Island Rail Road.
-
A.
CI
CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
-
B.
CI
CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
-
C.
CI
CI is the common abbreviation for the Coppa Italia, Italy’s premier national football cup competition.
-
D.
IC
IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
-
E.
IC
IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aecc969c81909a6e15ebe8dd3f94 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbb568508190b9da3475d1620ed5 |
completed | March 27, 2026, 6:25 p.m. |
| NEDg | Description generation | batch_69c6cd08a9c88190a481d4d3f8e680bf |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdc859cc8190bbae2efc39409021 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:55 p.m.