Triple
T17300851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBR |
E420034
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | KBR |
E420034
|
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: KBR | Statement: [KBR, tickerSymbol, KBR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBR Context triple: [KBR, tickerSymbol, KBR]
-
A.
KBR
chosen
KBR is a global engineering, construction, and services company known for major energy, infrastructure, and government contracting projects.
-
B.
Koch Engineered Solutions
Koch Engineered Solutions is an industrial technology and engineering company that provides process, pollution control, and optimization solutions across energy, chemical, and manufacturing sectors.
-
C.
Halliburton
Halliburton is a major American multinational corporation that provides products and services to the oil and gas industry worldwide.
-
D.
Baker Hughes
Baker Hughes is a major American energy technology and oilfield services company that provides products and services for oil and gas exploration, drilling, and production worldwide.
-
E.
Schlumberger
Schlumberger is a leading global oilfield services company that provides technology, project management, and information solutions to the oil and gas industry.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fae8848190a06c5866e606baac |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180dc929c819096a7a5dc81e5b6ef |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.