Triple
T4886019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3 star-forming region |
E109440
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
W3(OH)
W3(OH) is a compact, massive star-forming region and strong OH maser source within the W3 molecular cloud complex, notable for its intense radio and infrared emission.
|
E476473
|
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: W3(OH) | Statement: [W3 star-forming region, contains, W3(OH)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W3(OH) Context triple: [W3 star-forming region, contains, W3(OH)]
-
A.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
B.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
-
C.
H&W
H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
-
D.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
-
E.
Wicks
Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
- 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: W3(OH) Triple: [W3 star-forming region, contains, W3(OH)]
Generated description
W3(OH) is a compact, massive star-forming region and strong OH maser source within the W3 molecular cloud complex, notable for its intense radio and infrared emission.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: W3(OH) Target entity description: W3(OH) is a compact, massive star-forming region and strong OH maser source within the W3 molecular cloud complex, notable for its intense radio and infrared emission.
-
A.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
B.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
-
C.
H&W
H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
-
D.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
-
E.
Wicks
Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be680fd1508190bc01caeea8f56f84 |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be68e3ff288190803d77350a3ce6a5 |
completed | March 21, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be695116788190903fbd5e375bd31d |
completed | March 21, 2026, 9:48 a.m. |
Created at: March 20, 2026, 1:28 p.m.