Triple
T15376745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TW |
E367686
|
entity |
| Predicate | successorTicker |
P6747
|
FINISHED |
| Object |
WLTW
WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
|
E1153595
|
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: WLTW | Statement: [TW, successorTicker, WLTW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLTW Context triple: [TW, successorTicker, WLTW]
-
A.
WLIW
WLIW is a Long Island-based public television station in the New York metropolitan area, known for educational, cultural, and local programming.
-
B.
WMTW
WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
-
C.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
D.
WRAG
WRAG is the abbreviation for the Work-Related Activity Group, a category in the UK welfare system for people assessed as capable of some work-related activities while receiving certain benefits.
-
E.
WTW
WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
- 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: WLTW Triple: [TW, successorTicker, WLTW]
Generated description
WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WLTW Target entity description: WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
-
A.
WLIW
WLIW is a Long Island-based public television station in the New York metropolitan area, known for educational, cultural, and local programming.
-
B.
WMTW
WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
-
C.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
D.
WRAG
WRAG is the abbreviation for the Work-Related Activity Group, a category in the UK welfare system for people assessed as capable of some work-related activities while receiving certain benefits.
-
E.
WTW
WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5502508190bd39b6d81ee57cc0 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0f400ec08190961c63f957efe107 |
completed | May 9, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0fbef36081908a0f6317a32f9c28 |
completed | May 9, 2026, 10:43 a.m. |
Created at: April 10, 2026, 3:18 a.m.