Triple
T5155318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Stockton |
E116294
|
entity |
| Predicate | UNLocode |
P1800
|
FINISHED |
| Object |
US SCK
US SCK is the UN/LOCODE identifier for the Port of Stockton, an inland deepwater port and major shipping hub in California’s Central Valley.
|
E498736
|
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: US SCK | Statement: [Port of Stockton, UNLocode, US SCK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US SCK Context triple: [Port of Stockton, UNLocode, US SCK]
-
A.
US-SD
US-SD is the ISO 3166-2 subdivision code that uniquely identifies the U.S. state of South Dakota.
-
B.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
C.
UST
UST is a historic and prestigious Catholic university in Manila, Philippines, known as one of Asia’s oldest existing universities.
-
D.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
-
E.
USAIS
USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
- 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: US SCK Triple: [Port of Stockton, UNLocode, US SCK]
Generated description
US SCK is the UN/LOCODE identifier for the Port of Stockton, an inland deepwater port and major shipping hub in California’s Central Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: US SCK Target entity description: US SCK is the UN/LOCODE identifier for the Port of Stockton, an inland deepwater port and major shipping hub in California’s Central Valley.
-
A.
US-SD
US-SD is the ISO 3166-2 subdivision code that uniquely identifies the U.S. state of South Dakota.
-
B.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
C.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
-
D.
UST
UST is a historic and prestigious Catholic university in Manila, Philippines, known as one of Asia’s oldest existing universities.
-
E.
USAIS
USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78ddb01081909457ff4208eac4d7 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed0123bc48190920f60fc29f64734 |
completed | March 21, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69bed412290481908e3a63feac61c570 |
completed | March 21, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed4ab86248190b5004585137db9c4 |
completed | March 21, 2026, 5:26 p.m. |
Created at: March 20, 2026, 1:44 p.m.