Triple
T13141402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Land |
E312217
|
entity |
| Predicate | hasMajorEmployer |
P588
|
FINISHED |
| Object | Nalco Champion |
E1002337
|
NE FINISHED |
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: Nalco Champion | Statement: [Sugar Land, hasMajorEmployer, Nalco Champion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nalco Champion Context triple: [Sugar Land, hasMajorEmployer, Nalco Champion]
-
A.
Nalco Company
chosen
Nalco Company is a global water treatment and process improvement firm known for producing industrial chemicals, including the oil spill dispersant Corexit 9500A.
-
B.
Chemours
Chemours is a U.S.-based chemical company known for producing performance chemicals and advanced materials, including the nonstick coating brand Teflon.
-
C.
Diversey
Diversey is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Park/Lakeview area of Chicago.
-
D.
Celanese Corporation
Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
-
E.
Rohm and Haas
Rohm and Haas is a specialty chemicals company known for producing advanced materials and chemical products used in coatings, electronics, and industrial applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b84f1081908b9e2d54a64d4c2d |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae2c3848190b062fa8da7dc8a92 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.